Jina.ai Grounding MCP Server
Integrates Jina.ai's Grounding API with LLMs for real-time, fact-based web content grounding and analysis, enhancing LLM responses with precise, verified…
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Integrates Jina.ai's Grounding API with LLMs for real-time, fact-based web content grounding and analysis, enhancing LLM responses with precise, verified…
Enables AI assistants to interact with web browsers through a FastAPI server for web browsing, content extraction, and automation tasks with configurable LLM…
Integrates LLM applications with documentation sources using the Model Context Protocol.
BM25 search + tree navigation over markdown docs for AI agents. No embeddings, no LLM calls at index time.
Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead…
Provides Go language updates and best practices in a structured Markdown format for LLM coding agents.
The semantic layer for software engineering: Connect code to meaning, build on understanding
Access technical documentation for libraries and frameworks, formatted in clean markdown for LLM consumption.
Airtight math for AI agents: 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean 4 kernel checks. No LLM inside, no API key.
Access WordPress development rules and best practices from the WordPress LLM Rules repository.
A framework for developing LLM applications with capabilities like tool usage, planning, and memory, based on the Qwen model.
Persistent AI memory server with 3-layer hybrid search, confidence scoring, and 16 tools. Zero LLM dependency.
A knowledge graph-driven persistent memory layer for coding agents and LLM workflows.
Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors
Manage user feedback, roadmap, changelog and user surveys all from your favorite LLM
Access WordPress development rules and best practices from the WordPress LLM Rules repository. It dynamically creates tools for each rule and caches content…
Persistent cross-agent semantic memory for AI agents. Recall past sessions, share knowledge across agents. Multi-agent (isolated writes, shared reads)…
A vendor-agnostic cognitive persistence layer for AI agents. Eliminate the "repetition tax" by transporting your context, preferences, and history across…
This project provides a Model-Context-Protocol (MCP) server that interfaces with the ThemeParks.wiki API. It allows users to access real-time and static data…
# Documentation MCP Server with Python SDK ## Prerequisites - `uv` package manager, (optional but **highly recommended**) - claude desktop or cursor (…
Unofficial Notion MCP server built on Notion's private API (token_v2 cookie). Full read/write access to your entire Notion workspace — no integration token and…
Seta MCP is a Model Context Protocol server designed for Salesforce developers to create code and configuration. It fetches documentation from a user-defined…
Ad-free web scraping and search exposed as 3 MCP tools
# Memory Bank MCP Server This is a Model Context Protocol (MCP) server designed to manage project-specific "memory bank" data. It utilizes an SQLite database…