"How to Write Django Unit Tests" matching MCP servers:

coldstart gives coding agents durable memory of a specific codebase, with no embeddings, no vector store, and no API key. Agents write notes after real tasks — what a file is for, how a flow spans files, which invariants hold — and those notes are surfaced automatically to a later session whose task matches, so nothing gets rediscovered from scratch. Every note is anchored to real files by content

Provides tools for managing quantitative research knowledge graphs, enabling structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results.

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.

Exposes local memory vaults as 6 MCP tools over stdio, enabling clients like Windsurf, Zed, and Claude Desktop to read and write memory.

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.

Provides MCP tools to read, write, append, and edit prose sections of nodes, backed by an in-memory or substrate-direct (Urania) backend.

Provides tools to read, write, search, and manage notes in an Obsidian vault via the Model Context Protocol.

Enables MCP clients to read, search, list, and explore an Obsidian vault through coarse, intent-shaped tools, with optional read-only enforcement and a single write tool.

Enables AI coding agents to read, write, search, and organize notes in an Obsidian vault directly via the filesystem.

Enables AI assistants to read, write, and manage Microsoft OneNote notebooks, sections, and pages through OAuth-authenticated MCP tools, resources, and prompts.

Framework-aware code intelligence MCP server that builds a cross-language dependency graph from source code. 53 integrations (Laravel, Django, Rails, Spring, NestJS, Next.js, and more) across 68 languages. 100+ tools for navigation, impact analysis, refactoring, security scanning, session memory, and CI/PR reports — up to 97% token reduction.

Feynman's twelve-problems method as an MCP server — a persistent set of long-running problems plus an evoke loop that tests each new trick against all of them. Local, TypeScript, no LLM inside, no API key.

MCP server that connects Claude Desktop to Obsidian vault via the Local REST API plugin, enabling search, read, write, and management of notes plus executing Obsidian commands.

Enables coding agents to retrieve project context from an AnythingLLM RAG at session start and write back human-approved durable facts via five workflow-shaped tools.

Enables AI agents to read, write, search, and manage .klypix canvas files for persistent spatial memory across sessions.

Secure MCP server that bridges AI clients like Claude Desktop to Obsidian vaults, enabling read/write operations with OWASP Top 10 security controls and audit logging.

Enables AI assistants to read, search, and fully manage a Zotero library locally—organizing collections, editing items, uploading files, and managing notes, tags, and trash—through the local Zotero API without cloud sync.

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.

MCP server providing persistent memory for AI agents, enabling them to read, write, and query memories across sessions.

MCP server that writes to Obsidian vaults via the obsidian-writer HTTP service. Supports managing inbox entries, lists, notes, and tasks.