"Bitcoin SV" matching MCP servers:

Enables MCP-capable assistants to answer questions about Bitcoin SV from a pinned, auditable snapshot of specifications, SDKs, opcodes, and related documents, with read-only tools for investigation, search, and dependency checks.

A two-sided marketplace that enables AI agents to buy and sell datasets, prompt packs, and MCP tools using Bitcoin Lightning for instant settlement. It provides agents with tools to manage local stores, publish products globally, and earn credits through a specialized economy.

A hosted multimodal RAG MCP server that enables natural language queries over text and visual content (PDFs, images, etc.) with verifiable citations, easily run via npx with a Calypso API key.

MCP server that intelligently modifies CVs based on job descriptions using keyword extraction and strategic enhancement.

Exposes a curriculum vitae hosted on a backend REST API to AI assistants over stdio, letting them retrieve the full CV, list and fetch individual sections, and search for terms like technologies or companies. It also provides the full CV as attachable context and a prompt that compares the CV against a job description to suggest improvements.

Scrapes, indexes, and serves Salesforce Architect documentation locally, enabling fast offline RAG-powered search and retrieval for AI coding assistants.

Persistent, consensus-validated institutional memory for AI agents. Gives LLMs real memory that survives across sessions - validated through BFT consensus, not just dumped to a file.

Professional Gemini API integration for Claude and MCP-compatible hosts with intelligent model selection and advanced file handling capabilities.

Enables LLMs to scrape, index, and search modern and legacy Salesforce documentation by piercing complex Shadow DOM and iframe structures. It supports hierarchical spidering of entire guides and local RAG capabilities using a SQLite database for offline querying.

Turns a plain-Markdown Obsidian vault into a second brain that any MCP-speaking coding agent can search, read, extend, and maintain, using swappable SQLite, Qdrant, or markdown memory backends with automatic re-indexing and wiki-link graph navigation. Exposes read, write, and index tools plus an operator CLI for health, linting, and graph export.

A simple AI development tool that helps users interact with AI through natural language commands, offering 29 tools across thinking, memory, browser, code quality, planning, and time management capabilities.

Enables persistent storage and retrieval of Tree of Thought search states in PostgreSQL, allowing the travel agent to maintain reasoning context across multi-turn itinerary optimization.

Enables engineers and AI assistants to search source-backed hardware design guidelines, retrieve detailed conditions and limitations, and trace citations to original sources, all through a read-only offline interface.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables storing and retrieving information using semantic search with Qdrant vector database. Acts as a memory layer for LLMs to persistently store and semantically search through information and metadata.

Enables AI tools to search and retrieve verified solutions from the Soluble(s) solutions journalism podcast, including adapted versions for children aged 6-12, via read-only MCP tools backed by WordPress REST API.

Provides 11 MCP tools for deterministic, local semantic search over your documents, including indexing, retrieval, exact-match facets, temporal truth, semantic diff, and agent-first JSON output. Enables LLMs and agents to search, retrieve, and analyze documents without cloud dependencies or per-query costs.

A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.

Enables OMP and Pi hosts without the extension to use OpenViking-backed durable conversation capture, scoped recall, verified archives, explicit memory tools, and cross-agent workspace handoffs through eleven viking_* tools and /ov.

Enables AI agents to manage virtual clinic data including patients, visits, diagnoses, treatments, lab/radiology orders, and search medical literature and internal knowledge base.