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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
PythonAGPL-3.0★ 1Few starsNo key
The universal metrics layer. Compatible with 15+ formats: Cube, MetricFlow, LookML, Omni, BSL, LDM, Cortex, Malloy, OSI, SML, TML, Hex, Rill, Superset
PythonAGPL-3.0★ 131No key
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
PythonAGPL-3.0★ 40kNo key
A SEC EDGAR MCP (Model Context Protocol) Server
PythonAGPL-3.0★ 372No key
Local OpenAlex database with 284M+ works, abstracts, and semantic search
PythonAGPL-3.0★ 4Few starsNo key
The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.
PythonAGPL-3.0★ 381No key
Memory database for LLM agents — persistent keyword + optional semantic memory, project namespacing, served over HTTP REST and MCP from a single ASGI process. SQLite-backed, packaged as a Docker conta
PythonAGPL-3.0★ 16No key
Connect your EndNote reference library to Claude AI — search, cite, and read PDFs directly in conversations
PythonAGPL-3.0★ 53No key
Memory that abstains instead of guessing: agent memory on your own Postgres with a verdict, confidence and provenance on every hit, and a calibrated refusal when nothing clears the threshold.
PythonAGPL-3.0★ 6Needs a key
Local-first AI memory you can see, edit, and override — portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools.
PythonAGPL-3.0★ 162No key
MCP server for AI agents to analyze Excel spreadsheets through atomic operations. Like SQL for Excel. Fast, accurate, and efficient. No context overflow.
PythonAGPL-3.0★ 47No key
🔪 Open-source safety firewall for AI agents. Intercepts tool calls before they execute, enforces YAML policies, and kills dangerous operations in real-time. Works with OpenAI, Anthropic, LangChain, a
PythonAGPL-3.0★ 23No key
Open-source causal graph memory for AI agents. 85.55 on LoCoMo under a frozen, reproducible protocol. MCP server with ACT-R scoring, spreading activation, and active forgetting.
PythonAGPL-3.0★ 31No key
Git-first memory for AI agents: Markdown files are truth, the index is disposable, writes are reviewable commits.
PythonAGPL-3.0★ 9No key
Compiler-precise code property graph for C, Python, and TypeScript, navigable over MCP — data- and taint-flow with source→sink witnesses, points-to, and guard/sink structure for security reasoning ove
PythonAGPL-3.0★ 6No key
PythonAGPL-3.0★ 29No key
Your entire data pipeline. One platform
PythonAGPL-3.0Few starsNeeds a key
Durable, local-first memory for AI coding agents over MCP — zero-dependency, curated & semantically de-duped, you own the data (SQLite + Markdown). Works with Claude Code, Codex & any MCP host.
PythonAGPL-3.0★ 22No key
RSS/Atom feed reader MCP server with SQLite backend
PythonAGPL-3.0Few starsNo key
Token-efficient MCP doc-router — one canonical doc per query for your coding agents.
PythonAGPL-3.0★ 11No key
Git-versioned, provenance-grounded knowledge layer extracted from a codebase, served to humans and AI agents via MCP
PythonAGPL-3.0★ 9No key
Hybrid RAG (DuckDB vector + BM25 + RRF + recency/keyword priors + optional cross-encoder rerank) as an installable library + CLI.
PythonAGPL-3.0★ 9No key
A Python wrapper for the Chemistry Development Kit (CDK)
PythonAGPL-3.0★ 38No key
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