"Library Documentation" matching MCP servers:

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

Integrates Loopy's AI agent loop library with MCP-compatible clients like LM Studio, enabling discovery, analysis, crafting, and execution of bounded agent workflows.

MCP server providing virtual memory for AI context with durable SQLite storage, retrieval, and bounded prompt assembly to manage context windows.

A client library for connecting to and interacting with MCP servers hosted on smcphub.com, allowing users to find, publish, and call tools on MCP servers.

Facilitates browser automation with custom capabilities and agent-based interactions, integrated through the browser-use library.

Recommends APIs to AI agents based on agent-readiness and use-case keyword overlap, returning structured endpoints and documentation to ground integration code.

Enables access to agent instruction files and prompts for AI development workflows. Provides tools to retrieve and list development rules, security checks, and common prompts from an agents library through MCP protocol.

Enables AI agents to discover, load, and recommend versioned skills from a self-hosted library over MCP, with scoped access and immutable revisions.

A production-ready Python library for building MCP servers with agent orchestration and domain-specific presets for platforms like GitHub, Slack, and Notion.

Self-hosted workspace MCP gateway that registers MCP servers, stores secrets encrypted, mints agent keys, and shares a unified tool library across multiple AI harnesses.

Enables managing a canonical library of agent skills and MCP servers, syncing them across multiple development harnesses, and adding, importing, or configuring them through MCP tools.

CodeMesh enables AI agents to orchestrate any MCP server by writing TypeScript code, with self-improving capabilities through auto-augmentation of tool documentation.

Enables Large Language Models to analyze GitHub repositories in real-time, providing tools for retrieving repository information, analyzing issues, accessing documentation, and visualizing activity.

Enables interaction with a TrueRAG system through a GraphQL API using the Model Context Protocol (MCP), facilitating access to policies with a Python SDK and GQL library integration.

Public MCP front door for Spala agent discovery, providing onboarding, documentation search, and template/addon listings for planning backend workflows.

Enables interaction with Jellyseerr media request systems through natural language. Supports searching for media, creating requests, checking request status, and managing your media library workflow.

Manages skills and profiles on disk and probes companion tools (bob, cortex, mcphub, etc.) over stdio MCP, enabling library operations and stack readiness checks.

Enables Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.

A Model Context Protocol server that connects MCP-compatible clients like Claude and VS Code to your Readwise Reader library, allowing them to list, retrieve, and update documents in your personal knowledge repository.

Generate deployment-ready AI agent system prompts for professionals in one click. 251 curated archetypes across 41 industries — from FX risk management to clinical documentation to OSINT intelligence.