Mounts a headless, low-memory browser for agents with a text-first tool interface, enabling navigation, semantic tree/markdown extraction, structured-data scraping, screenshots, form interaction, and session capture. Reads and interactions are returned as semantic trees, markdown, or CSS-selector JSON rather than pixels, which is cheaper for a model to reason over.

Connects AI assistants to a Telegram bot so the model can message the user, send files, ask questions and wait for button answers, and read or search chats, groups and forum topics. It also lets the assistant reply as the user in connected personal chats, within the permissions granted in Telegram.

Provides AI assistants offline fuzzy search, precise section retrieval, and section listing over bundled mobile-development documentation, enabling natural-language lookups of components, hooks, guides, and best practices.

Enables AI assistants to query and manage a Discogs music collection in natural language, including collection and catalog search, statistics, recommendations, wantlist and folder updates, ratings, and custom fields. It authenticates with Discogs via OAuth and caches a collection snapshot to answer many queries quickly.

Semantic skill router for Claude Code — load only the skills you need, save 20k+ tokens per session

Model Context Protocol (MCP) server that enables AI assistants to securely interact with Odoo ERP systems through standardized resources and tools for data retrieval and manipulation.

Autonomous knowledge base plugin for Claude Code - captures reserch, ideas, and decisions into an interlinked wiki with reserch-on-miss, semantic search, and a Wikipedia-style web UI. Knowledge compounds as you work.

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

MCP server giving AI agents (Claude Code, Claude Desktop, Cursor, ChatGPT, Codex, OpenClaw) persistent long-term memory backed by your local Obsidian markdown vault. Hybrid retrieval (BM25 + ML embeddings + BGE reranker, RRF-fused), HNSW + int8 quantizati

Enables AI assistants to search, randomly roam, and inspect over 65,000 ArchDaily architectural works, including downloading and reading high-resolution images; it also supports notes, two-way sharing with a front-end canvas, and favorites/tag management.

Enables AI agents and LLMs to persist facts, preferences, and observations in a local SQLite store and to build and traverse subject-predicate-object knowledge graphs across sessions. It provides fuzzy keyword search and graph queries so assistants retain context and recall prior project history without repeating prompts.

Enables AI assistants to search for real Iconify icons, check icon names and properties, retrieve version-matched pyside-iconify usage references, and statically validate pyside-iconify code before running it.

Enables an assistant to search and read AtoM archival catalogue records, including their hierarchy, authority records, images and file text, and to propose improvements such as access points, relationships, descriptions, transcriptions and translations. Every proposal is queued for archivist review and nothing changes until approved.

A stdio MCP server that lets AI coding assistants search, read, add, and review shared markdown notes in a team git repository, including teammate knowledge and recent work, without extra AI calls.

Exposes a governed dbt MetricFlow semantic layer to AI agents through three tools — list metrics, list dimensions and query metrics — so questions about federal contract spend are answered from defined metrics rather than raw tables. Guardrails reject undefined metrics, raw columns, SQL in filters and bulk exports, and no tool can execute SQL.

Enables users to index and retrieve local documents through semantic, BM25, or hybrid search, with tools for chunk reads and page images accessible from MCP clients such as Codex and ChatGPT web.

Enables AI assistants to query and analyze self-hosted real-estate public-records data through 20 read-only MCP tools, including property search, foreclosure and distress signals, comps, market context, and optional license-gated deal scoring.

Enables AI agents to read the local, already-logged-in WeChat account's chat history: fetch recent messages per contact for reply suggestions, bulk-export all conversations into a local SQLite index for full-text and semantic search, and export media or Moments timelines as offline HTML. Everything runs locally and read-only on macOS, exposing 15 MCP tools plus a matching CLI.

Enables any MCP-compatible client to persist long-term memories for AI agents, with LLM-based fact extraction, semantic vector search, update/delete/list operations, and queue status checks across sessions.

Gives AI agents a durable, locally hosted temporal memory built from a markdown vault you own, exposing hybrid semantic/lexical/entity search over events, threads, transcripts, entity relationships with validity dates, and patterns with confidence decay. Writes are approval-gated, so agents can draft, commit, and sync new memories while keeping every index rebuildable and nothing leaving your machine.

Enables offline King James Version Bible lookup, passage retrieval, word and phrase search, deterministic verse-of-the-day access, and book/chapter listing for AI assistants. All tools are read-only and return citable references with structured JSON.

Enables AI assistants to browse, search, read, and save personal Markdown knowledge through HTTP MCP tools, with category and status filtering, revision-safe updates, and rebuildable full-text search.

Enables querying aggregated security news and vulnerability feeds from Claude, with semantic search and filtering by severity, source, or category, plus real-time threat summaries.

Enables an AI assistant to search open roles at a configured short list of companies through official public Greenhouse, Lever, and Ashby job board APIs, filter matches by career lane, retrieve full job descriptions, and save selected roles to a Notion tracker.