"How to make crypto trades using MetaMask" matching MCP servers:

Exposes foldkit 7-prime spine, κ-band classification, and 6 fold operations as tools and resources for MCP-compatible AI clients like Claude Code.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

Enables AI tools to query context from a local JSON data source via stdio, demonstrating the Model Context Protocol.

Turns arXiv and LaTeX mathematical papers into theorem dependency graphs, exposing MCP tools to load papers, list theorems, get theorem details, find dependencies, and locate where theorems are used.

MCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.

Enables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.

Builds a searchable memory bank from persona-specific PDF content and exposes it as an MCP tool for querying.

Self-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.

Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.

A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.

A codebase ontology and a cited wiki, both kept as Markdown in one folder on your disk. Typed graph answers — what a change affects, how two concepts connect, which wiki lines lack a citation — and every write lands as a Git diff a person reviews.

Make it easy for agents to build their context about your projects over time The server provides a set of tools to help agents accumulate knowledge about a project over time in a structured way.

Gives Claude persistent, local context about how you work, your weekly agenda, and shipped work, with automatic work logging and git integration—all stored privately on your machine.

Enables users to read, search and edit GEDCOM (.ged) family-tree files from Ancestry.com and other genealogy software, letting an MCP client navigate relationships, explore ancestor and descendant trees, inspect sources and citations, and make safe, lossless edits that are written straight back to the file with a backup.

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Persistent, local memory for AI coding agents that learns how you work, not just what you said. Supports Claude Code, Codex CLI, Cursor, and any MCP client.

Enables AI agents to use an approved session to inspect capabilities, manage projects and memories, perform bounded reads, and make journaled changes through a stdio interface.

Make AI apps answer your way, check with you before acting, and get approvals on your phone.

Gives AI apps a shared, plain-folder memory on your own machine, so whatever you tell one model the others can read, and you can inspect, review and undo every change they make. Memory stays portable across vendors, models and account changes instead of living on a provider's servers.