"Guidance on Writing Software" matching MCP servers:

Enables any MCP client to search and read 127 FDA guidance documents on clinical research, with tools for ranked passage search, document retrieval, and metadata lookup.

Enables screenwriters to search for similar scenes, fetch scene details, list indexed movies, find mood reference scenes, and get analysis style guidance, all grounded in real produced scripts.

Memory vaults on your own machine, one per life domain, retrieved with a local BM25 index fused with vector search, where the human decides which vaults a model may answer from. Requires the Mnemosyne OS desktop app running locally; it also reports what other coding agents on the same machine are doing.

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

Semantic memory MCP server that gives AI agents a self-writing, priority-based memory with local semantic search and automatic contradiction handling. It persists across sessions and projects, entirely on your machine.

A Model Context Protocol server that provides standardized interfaces for interacting with Ollama API, offering JSON responses, error handling, and intelligent guidance for LLM-based API calls.

A Model Context Protocol server that runs on Cloudflare Workers with OAuth login, allowing clients like Claude Desktop to connect to it for tool-augmented AI interactions.

Enables querying Perplexity AI models via Polza.ai for search, research, and model guidance.

This read-only MCP Server allows you to connect to Act-On data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

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.

MCP server that provides secure access to a serverless Markdown wiki on AWS, enabling AI assistants to read, search, and edit pages with space-level permission checks and Bedrock-powered semantic search.

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

Provides 17 business-vertical knowledge specialists as callable tools, returning cited insights from a curated knowledge base. Enables any MCP client to query expert guidance across sales, marketing, finance, legal, and more.

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 evidence-grounded diagnosis of Python defects and security vulnerabilities, providing structured reports with vulnerability type, CWE, risk level, root cause, and remediation guidance.

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.