Browse agents

Encrypted, local memory for your Claude Code Telegram bot. Captures both sides of the conversation at the plugin source (survives restarts and crashes) and recalls it via MCP tools — whole-file SQLCipher encryption, FTS5 full-text search (CJK-friendly), never touches your bot token.

Local-first shared memory and coordination layer for AI coding agents: repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector.

3D printing filament and materials knowledge base. 6,957 filaments from SpoolmanDB with material properties, print settings, manufacturer data, and troubleshooting guides. 8 tools for searching filaments, comparing materials, and diagnosing print issues. `npx 3dprint-oracle`

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

Browse and search open-source bounties on Algora. 5 tools: list, search, filter by org/tech/amount, get top bounties, aggregate stats. No API key required.

A simple memory tool for coding agents using DuckDB and VoyageAI.

Hierarchical memory engine for AI agents with automatic decay, promotion, semantic dedup, and self-organizing topic tree. Single Rust binary, zero external dependencies.

Project memory for AI coding sessions. Auto-captures checkpoints on git commits, branch switches, and inactivity, then provides re-entry briefings so AI assistants pick up where you left off. Local-first, no account required.

Persistent memory + FTS5 full-text search for Claude Code conversation history. Indexes `~/.claude/projects/` JSONL into SQLite, exposes 10 MCP tools (store/recall/search memories, list sessions, get summaries) plus prompts. Includes a web UI for visual exploration with themes and exports. Works with Claude Code, Cursor, Codex, Windsurf, and any MCP-compatible client. `npm install -g @kunwarshah/claudex`

Local-first persistent memory for AI coding agents. Captures facts, decisions, patterns, and architecture notes in SQLite (with optional cloud embeddings) to reduce repeated context across sessions.

Persistent fractal graph memory for AI coding agents via MCP. Semantic vector search, hot/cold/archive context tiers, decision tracking, and Docker-based deployment with Qdrant.

Vault-native, accountable memory for Claude Code and any MCP client. Markdown is the source of truth, no LLM on the Stop path, redaction before every derived store.

Shared research cache across AI agents. Hit → instant answer from verified sources. Miss → your research saves the next dev's tokens. `npx wellread`, free.

Knowledge graph-based persistent memory system for maintaining context

Persistent AI memory with SQLite hybrid search (FTS5 + semantic). Built-in Qwen3 embedding, rclone sync across machines. Zero config, no cloud, no limits.

Self-hosted coordination layer for AI agent fleets. Shared semantic memory, tasks, agent-to-agent messages, session handoffs, and a background archivist that synthesizes cross-agent knowledge. Any HTTP client participates — Claude Code, AutoGen, raw scripts.

Zero-config MCP server for searchable documentation. Loads markdown into SQLite (default) or PostgreSQL with FTS5/tsvector keyword search and optional pgvector hybrid semantic search.

Persistent AI agent memory with rollback, audit trails, semantic search, and knowledge graph. Zero-config local SQLite mode or cloud API. 23 tools, 6 resources, 3 prompts.

Persistent user identity across AI tools. Stores preferences, lessons, and decisions as local JSON; 13 core MCP tools share them with Claude Code, Cursor, Codex, and any MCP client. Knowledge governance (staging→verified), AES-256-GCM encryption, cross-tool sync. `pip install piia-engram`

Hosted MCP server by [PapersFlow](https://papersflow.ai) for academic research with 7 specialized AI agents and 474M+ papers from Semantic Scholar and OpenAlex. Literature search, citation verification, citation graph exploration, and autonomous deep research workflows.

AI coding context for Claude Code, Cursor, and Codex. Path-scoped team memories, rules, and skills from Pathrule Web workspaces via OAuth. `https://mcp.pathrule.io/mcp`

Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding.

- Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client.

Local-first memory & context-handoff across AI tools — capture context in one tool, resume it in another, with graceful decay, a persona layer, and a portable memory passport.

Local-first memory and judgment layer for AI coding agents. Captures issues, failed attempts, fixes, and decisions in readable Markdown + JSONL, re-injects them into future sessions, and warns at git commit before you repeat a mistake. 14 tools, works with Claude, Cursor, Antigravity, and Codex.

Outcome-based persistent memory for AI coding tools. Memories that help get promoted, memories that mislead get demoted. Works with Claude Code and OpenCode via hooks + MCP.

Persistent codebase knowledge layer for AI coding agents. Pre-digests codebases into structured knowledge (symbols, dependency graphs, co-change patterns, architectural decisions) via tree-sitter native parsing (28 languages) and serves via MCP. 14 tools, ~85% token reduction. Works with Claude Code, Cursor, Codex, and any MCP client.

Persistent memory engine for AI coding agents. Stores architecture decisions, bug root causes, and project conventions across sessions. Single Go binary with embedded SQLite, FTS5 search, context assembly within token budgets, and autopilot setup for Claude Code, Kiro, and Cursor.

Temporal knowledge graph for codebases. Captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook. 22 MCP tools, 9 SQLite databases with FTS5, supports Python/TypeScript/JavaScript/Solidity/Go/Rust/Java. Install via `pip install world-model-mcp`.

Persistent memory for AI agents with Ebbinghaus forgetting-curve decay, hybrid BM25+vector retrieval, and entity graph for multi-hop reasoning. Memories auto-prune by importance and recall rate. Built-in browser dashboard, multi-agent support, and `yourmemory ask` for zero-API-call local queries. `pip install yourmemory`

Neuroscience-inspired memory engine for AI agents. Stores episodes, consolidates knowledge through a Bjork-strength lifecycle (strengthening, transformation, forgetting), and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. Local SQLite, zero config, 10 MCP tools. Install via `npx alaya-mcp`.

Read and edit Word (.docx) documents with track changes, comments, footnotes, and structural validation. The only MCP server combining w:ins/w:del tracked changes, threaded comments, and footnotes with OOXML-level paraId validation and document auditing. 18 tools, Python 3.10+.

Private-by-default memory and context layer for agents with Go/Rust runtime, staged retrieval across fused data backends, and long-horizon context continuity.

no API keys or cloud services required.

Institutional memory for AI agents with real BFT consensus. 4 application validators vote on every memory before it's committed — no more storing garbage. 13 MCP tools, runs locally, works with any MCP-compatible model. Backed by 4 published research papers.

Git-first memory for AI agents: Markdown files are truth, the index is disposable, and writes are reviewable commits. Ships 7 MCP tools (hybrid search, read_note, build_context, resolve, think, list_folders, and a scope-gated commit_note write) over a Streamable HTTP endpoint, plus a CLI and a read-only Obsidian companion.

Five-level AI collaboration system with persistent memory and anticipatory capabilities. MCP-native integration for Claude and other LLMs with local-first architecture via MemDocs.

Local-first review-gated sidecar for Markdown workspaces. Indexes notes and incoming artifacts into SQLite, proposes domains, links, memory, and growth cards with evidence, and keeps source files unchanged until explicit review. `pip install linza-mcp`

Self-hosted knowledge store and memory layer for AI agents with knowledge graph, wiki-links, full-text search (FTS5), and agent memory with namespaces and TTL.

Let AI tools like Cursor, VS Code, or Claude Desktop answer questions using your product docs. Biel.ai provides the RAG system and MCP server.

Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns.

7-layer recursive agent memory with context branching, holographic recall, dream consolidation, and on-chain persistence. MCP-native with 10 tools for persistent agent cognition.

Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices.

Cognitive memory for AI agents with Atkinson-Shiffrin memory model (STM/LTM/sensory register), semantic RAG, Ebbinghaus decay, trust scoring, and 76+ MCP tools.

Personality Runtime for AI agents — persistent memory, identity (SOUL), and relationships that travel across Claude, OpenClaw, Mistral, and any MCP client.

MCP-native, local-first memory for coding agents that turns coding sessions into reusable engineering memory: decisions, gotchas, and domain knowledge.

— Persistent cognitive memory for Claude Desktop. Sub-ms recall, offline, encrypted.

Self-learning memory for AI coding agents. Observes tool sequences, user preferences, and recurring fixes; confidence-based promotion (hits ≥5 → mature, ≥10 → rule) so agents stop repeating mistakes without explicit instruction. SQLite-backed, project-aware, zero external deps. Works with Claude Code, Cursor, Windsurf, Goose, Codex. Published on PyPI as `instinct-mcp` and registered in the MCP Registry.

Decentralized civil registry for AI agents on Sui. Soulbound identities, on-chain memories, reputation, refusal records. Hosted at `agentcivics.ai/mcp` (read-only, no install) or `@agentcivics/mcp-server` on npm (full write surface). Includes a gas-sponsor relay so registration doesn't require a pre-funded wallet.

Developer context continuity system. Watches your git repos and builds a temporal knowledge graph of modules, symbols, decisions, and open problems via Graphiti + Neo4j, then serves it to any AI coding agent over MCP. Every edge carries a validity window and a confidence score that decays over time. 12 tools across read and write. Install via `npx -y stifler-memex-mcp`. MIT licensed.

A private, local research "second brain" for Claude: project-aware memory, cited answers from your own library (won't invent what it can't find), linked notes/meetings/ideas via a domain-specific knowledge layer, daily briefs (news + new papers in your field), a live meeting assistant, cross-pollination across your work, and 34 routed agents. A governed layer between you and the AI, with guardrails like data protection. A Research Cortex.

Event-sourced agent memory on a hash-chained append-only log with an embedded temporal knowledge graph (Kuzu, no sidecar). Cited Memory Checkout context, salience-based forgetting that attenuates instead of deleting, compaction-recovery hooks for Claude Code, token-budgeted checkout, and review-gated consolidation. 47 MCP tools with an 8-tool core profile default. `pip install zaxy-memory` [Docs](https://docs.zaxy.io)

Hosted memory that learns and forgets — feedback re-ranks what helps, recall fades by recency, similar memories consolidate. One key across Claude, Cursor, VS Code & ChatGPT.

An MCP server that provides comprehensive US legislation.

Fill standard legal agreement templates (NDAs, SAFEs, NVCA docs, employment, cloud terms) and produce signable DOCX files.

Access Austrian federal laws, state laws, court decisions, and legal documents via the RIS (Rechtsinformationssystem) API with 12 specialized tools.

Canadian case law and legislation metadata via CanLII. Bring-your-own free CanLII API key. Hosted endpoint at canlii-mcp.vaquill.ai. MIT.

First dedicated Hawaii tourism MCP server. 2,583 bookable tours from Viator, GetYourGuide, Klook, and Groupon, plus 579 events across 70+ venues on Oahu, Maui, Big Island, and Kauai. Results ship with affiliate booking links. Hosted Streamable HTTP endpoint — no install required. Powered by [aloha.fyi](https://aloha.fyi).

IP address geolocation and network information using IPInfo API

Access real-time weather data for any location using the WeatherAPI.com API, providing detailed forecasts and current conditions.

Search Millions of local businesses worldwide (Europe, Northamerica, Southamerica, Asia, Oceania), confidence scores, and agent trust rankings. No API key required.

IP Address location service using the [IP Find](https://ipfind.com) API

Weekly Weather MCP server which returns 7 full days of detailed weather forecasts anywhere in the world.

Accurate weather forecasts via the AccuWeather API (free tier available).

GPS coordinates to AI-ready location context — returns place name, stable category (gym, supermarket, restaurant…), and live opening hours via OpenStreetMap. Works in Claude Desktop, Claude Code, Hermes Agent, OpenClaw, and any MCP client.

Geographic data packs for disasters, FX rates, and global indicators. New geospatial data packs weekly. Free and x402-paid execution lanes via MCP and HTTP API.

Geocoding MCP server for nominatim, ArcGIS, Bing

Brand name verification across domains (with pricing), social handles, trademarks (USPTO), web presence, app stores, and SaaS channels. Safety scoring, linguistic/phonetic screening, and filing readiness.

Mailchimp Marketing API integration with 53 tools for managing campaigns, audiences, reports, automations, landing pages, e-commerce data, and batch operations.

`@deliveriq/mcp` — email-deliverability tools for AI agents. 12 tools: single + batch verification, email finder, DNSBL across 50 zones, SPF/DKIM/DMARC/MTA-STS/BIMI infrastructure analysis, spam-trap scoring on 13 weighted signals, composite domain trust report, account credits. 5-stage / 21-check pipeline under the hood. Free tier, no card. Install: `npx -y @deliveriq/mcp`.

Validates email addresses to reduce email bounces during marketing campaigns.

Backlink intelligence and competitor gap analysis on the public Common Crawl webgraph (4.4B edges, 120M domains) via [CrawlGraph](https://crawlgraph.com). 4 tools: backlink lookups, gap analysis, and a composite outreach-targets finder (domains linking to all your competitors but not you, de-noised and ranked by authority). Install: `npx -y crawlgraph-mcp`.

Meta (Facebook/Instagram) and TikTok ad campaign management for AI agents. One tool call creates a complete campaign — targeting, creative, budget, and ad. Requires license from [agent1st.io/ads](https://agent1st.io/ads/).

Publish from your terminal. Drafts SEO-scored articles, cross-publishes to Dev.to, Ghost, Hashnode, WordPress, and Medium with auto-wired canonical URLs, generates social posts for Twitter/LinkedIn/Reddit/Bluesky/HN, fetches Unsplash cover images, and submits URLs to IndexNow — all as local stdio, no cloud relay.

CallRail REST API v3 integration with 49 tools for call tracking, form submissions, transcripts, full CRUD on tags/trackers/companies/users, plus agency-specific aggregation tools (`usage_summary` for per-client cost attribution, `compare_periods` for MoM deltas, `bulk_update_calls` with dry-run, `spam_detector`, `call_eligibility_check` for Google Ads conversion debugging). Built by an actual CallRail customer for agency use. Install: `pipx install callrail-mcp`.

SEO, content generation, PPC, keyword research, site auditing, authority building, and LLM

Local-first dashboard + MCP server for Claude Code and Codex token usage. Cost, per-MCP/per-tool breakdown, hourly distribution, and session drill-down — your data never leaves your machine.

Search 47,000+ marketing agencies and get AI-matched with fitted agencies (Get Matched engine), from [Pick an Agency](https://www.pickanagency.com).

Read-only MCP server for OpenObserve Community Edition via REST API. Search logs, traces, stream schemas, and dashboards without requiring the Enterprise license.

Query Langfuse traces, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.

Comprehensive MCP server for Grafana, Prometheus, Kafka UI, and Datadog with a secure "Bring Your Own Key" or BYOK model.

AI-native web analytics. Query pageviews, top pages, referrers, countries, devices, and custom events. Create conversion funnels and alerts.

Transparent proxy for any MCP server that intercepts all JSON-RPC messages, measures latency, and stores traces in SQLite, PostgreSQL, or MySQL. Exports OpenTelemetry (OTLP) spans to Jaeger, Tempo, or Grafana. Supports stdio, HTTP, and SSE transports. `npx @cardor/heimdall-mcp`

MCP server for Webmin with 61 tools for Linux system administration: services, users, storage, security, databases, and more.

TypeScript MCP server for the Langfuse Public API. 27 read tools covering traces, observations, sessions, scores, score-configs, prompts (with version/label), datasets, dataset items, dataset runs, metrics, models, projects, comments, media, and health. Distributed as `npx -y langfuse-mcp` with provenance-signed releases.

eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime/Driver APIs and host kernel events to build causal chains explaining GPU latency.

Query Langfuse traces, debug exceptions, analyze sessions, scores, datasets, schema, observations and manage prompts. Full observability toolkit for LLM applications. (https://github.com/langfuse/langfuse)

Query and interact with kubernetes environments monitored by Metoro

AI agent cost intelligence — track spend across providers, optimize model selection, manage budgets with enforcement, detect cost leaks, and prove ROI. 23 tools across 10 domains.

Query, summarize, and trace logs in plain English across GCP Cloud Logging, AWS CloudWatch, Azure Log Analytics, Grafana Loki, and Elasticsearch

TrustPilot for APIs — independent reliability ratings for APIs and MCP servers, powered by synthetic probes and crowdsourced agent telemetry.

Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS health, DNS timing, and redirect chains. Returns deterministic FRESH/STALE/UNKNOWN verdicts with NIST AI RMF mapping. CLI + MCP server + HTTP API with Prometheus metrics and YAML policy engine.

Fast and minimal Sentry MCP server written in Rust

Datadog observability — 168 tools across metrics, monitors, logs, APM, RUM, incidents, status pages, fleet automation, workflows. 4 workflow Prompts and `incident-triage-snapshot` aggregation that fans out to 4 fetches in one call.

Instant website audits with 11 tools — full SEO audit (20+ checks), security headers and SSL verification, Lighthouse performance metrics, multi-site comparison, broken link checker, WCAG accessibility audit, Schema.org structured data validation, competitor gap analysis, and robots.txt parsing. No API keys required.

A Prometheus Model Context Protocol Server.

A MCP server for creating GIFs from your videos.

MCP server for ZapCap API providing video caption and B-roll generation via natural language

Unified Gemini media generation: Nano Banana (images, editing, multi-reference composition), Veo 3.1 (video, image-to-video, extend), TTS, and Lyria 3 (music with vocals). Single Go binary, 12 tools, supports Gemini API key and Vertex AI.

AI 3D model generation and post-processing: text/image/multiview-to-3D via Tripo, plus retopology, format conversion (GLB/FBX/OBJ/STL/USDZ), and stylization. Single Go binary, 10 tools, async generation with polling.