"Writing about MCP" matching MCP servers:

Provides long-term memory for agents with meaning-based recall, evidence-gated writing, and separate stores per agent mode.

Enables AI assistants to search and ask questions about documents stored in AnythingLLM workspaces through MCP tools.

Provides LLMs with specialized knowledge about fountain pen inks, enabling intelligent ink search, color matching, and recommendations through various tools.

A server that connects MCP clients (Claude, Cursor, Windsurf, etc.) to EventCatalog instances, allowing users to ask questions about their event-driven architecture and get insights about domains, services, and message schemas directly within their development tools.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

An MCP server that gives Claude a memory system modeled on the hippocampus using hyperdimensional computing, with features like surprise-gated writing, consolidation, and active forgetting.

Exposes a personalized AI agent that reads your resume and provides intelligent responses about your professional background through a standardized MCP server interface with RAG capabilities.

Enables hybrid search, reading, writing, and managing a local Obsidian vault through MCP tools and a REST API, including section patching, appending, moving notes with link rewriting, and frontmatter updates.

Provides a retrieval/MCP knowledge server for the Unreal Engine Python API, enabling AI agents to retrieve real signatures and documentation before writing code.

A Model Context Protocol (MCP) server that converts natural language queries into SQL statements, allowing users to query MySQL databases using conversational language instead of writing SQL code.

MCP server for local-first RAG over Obsidian vaults, enabling AI agents to search and ask questions about notes with grounded citations.

CTX is a tool made to solve a big problem when chatting with LLMs like ChatGPT or Claude: giving them enough context about your project.

Provides long-term memory and semantic context to Antigravity CLI, enabling memory search, retrieval, writing, and automatic session capture across conversations.

Enables users to query information about LPDP scholarship financial disbursement using RAG with Pinecone vector search and Gemini 2.0 Flash, answering questions about funding components, deadlines, living allowances, and required documents.

A Model Context Protocol (MCP) server that enables LLMs to interact directly the documents that they have on-disk through agentic RAG and hybrid search in LanceDB. Ask LLMs questions about the dataset as a whole or about specific documents.

Searches a local literature database to find and compare wording, returning sourced example sentences with references for use by AI writing assistants.

Enables offline CRUD and semantic search on Wikipedia ZIM archives via MCP tools for reading, writing, editing, deleting, and searching articles.

Enables reading and writing to a Pinecone vector index, including semantic search, document management, and stats retrieval.

Provides a cross-session memory system for AI assistants via MCP, with markdown-based storage, BM25 retrieval, and tools for writing, searching, reading, and managing memories.

Enables MCP clients like OpenCode or Claude to use EbbingFlow long-term memory across sessions through stdio tools for writing, retrieving, and chatting with remembered context.

A lightweight, context-efficient CLI and optional stdio MCP server for semantic search, browsing, and writing to your Zotero library.

A Model Context Protocol server that enables AI agents to query Saagar Patel's writing, projects, and benchmark results from a static corpus, without scraping HTML.

Enables users to ask questions about Neo4j, Cypher, GraphRAG, and ontology engineering, providing answers grounded in official Neo4j documentation with citations.

Enables LLM agents to search canon works, lock timeline-scoped rules and character seals, audit plots for out-of-character or canon-breaking content before writing, and generate divergent worldbuilding hooks.

Korean writing-style checker that flags rule violations sentence by sentence.

An honest, cite-or-abstain persona engine that answers questions about a specific person based on a signed knowledge base, declining anything not in the notes.

Enables AI assistants to read, search, and write notes in an Obsidian vault synced through Self-hosted LiveSync, with OAuth and tools for listing, retrieving, searching, appending, and writing notes.

A local-first iMessage retrieval system that serves hybrid full-text and vector search over an MCP server, enabling an AI assistant to answer questions about your correspondence.

MCP server that connects Claude Code to Substrate organizational memory, providing tools for searching, reading, querying, and writing memory, with automatic capture of conversation turns.

Enables users to turn household paperwork into answers about upcoming deadlines, warranties, and plain-language explanations, and to draft related messages such as payment extension requests.

An MCP service for AI-assisted reasoning and editing on long-form fiction projects. It builds a structured index from scene files for targeted context retrieval.

A server for the Machine Chat Protocol (MCP) that provides a YAML-based configuration system for LLM applications, allowing users to define resources, tools, and prompts without writing code.

Enables AI assistants to answer questions about the operator's current focus, engagements, reusable patterns, availability, and service offerings, with responses grounded in structured data and including confidence labels and source citations.

An MCP server that provides country-related data from the REST Countries API, allowing users to query information about countries through natural language.

Enables MCP-compatible agents to retrieve Chinese expert documents, prompt examples, and task skeletons before writing Chinese prompts.

Enables semantic search over VTT transcript files using AI-powered structured summaries, allowing natural language queries about client call transcripts through Claude Desktop or Copilot Studio.

Enables MCP clients to quickly extract information about GitHub repositories, including repository summaries, project directory structures, and file contents.

Enables MCP clients to search and ask questions about Arknights world lore through hybrid retrieval and retrieval-augmented generation, with source annotations on generated answers.

Enables users to ask questions in Portuguese about marketing metrics (ROI, CAC, LTV, pipeline, channel attribution) by querying a marketing data warehouse through MCP tools.

Automatically routes natural language questions to RAG or Text2SQL paths to answer queries about virtual construction site data, supporting semantic search and structured aggregation.