"A guide to report writing" matching MCP servers:

Enables unified research through a single MCP interface, combining multi-provider web search, content extraction, fact-checking via corroboration across independent sources, and a personal knowledge base—with zero-config providers and optional API-keyed backends.

Enables Claude to retrieve relevant memories from a folder of markdown files using hybrid search (BM25F, dense embeddings, phrase proximity) and to explicitly report when no strong match exists instead of guessing.

MCP server exposing a "run" tool that benchmarks agent-memory backends and returns a reproducible JSON report.

AI reads your codebase like a book - one page at a time. Pharaoh gives it the index and a map of how every chapter connects.

Serves as a durable catalog for report definitions and gathered outputs, enabling agents to save findings with source URLs and retrieve the freshest output to compile cited reports.

Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.

Self-hosted MCP server for Obsidian with semantic + full-text search over PostgreSQL/pgvector, wikilink graph traversal, atomic note CRUD, OAuth 2.0, and a self-describing vault guide.

An MCP server that transforms books into agent-callable skill packages, enabling AI agents to use books as guides for evidence, procedures, and tutoring.

Analyses your published writing from a sitemap, extracts a corpus, and generates a Claude Skill so Claude writes in your voice.

MCP server that connects Cursor agents to a local Obsidian vault via the Local REST API, enabling note reading, writing, searching, patching, and organizing through natural language.

Provides a shared, persistent memory layer for AI assistants, letting them read and write to a local Obsidian vault through MCP with validation, secret rejection, and deduplication.

A local MCP server for maintaining internal consistency in fiction writing, with constraint-based fact checking, branching, and author-oracle conflict resolution.

Provides a compiled knowledge substrate, extracting atomic claims from an append-only capture log and querying a bitemporal claim graph over MCP. Read-only by default, with opt-in writes for trusted sources.

An MCP server for managing work logs, research results, and task checkpoints to enable seamless collaboration and state recovery between AI agents. It provides a persistent memory layer for tracking project history and resuming workflows across different sessions or tools.

A Model Context Protocol (MCP) server that provides AI assistants with secure access to Obsidian vaults. Enables reading, writing, searching, and managing notes without requiring Obsidian to be running.

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

An MCP server for AI-assisted novel writing that manages project structure, tracks plot holes and foreshadowing, audits timeline continuity, and provides writing analytics and prompt generation.

Provides intelligent manuscript analysis and writing assistance for markdown projects, including semantic search, quality checks, terminology consistency, link validation, progress tracking, and comprehensive writing statistics.

A Model Context Protocol server that exposes an Outline knowledge base to MCP clients. It enables searching, reading, writing, and commenting on documents through natural language.

MCP server that connects AI clients to a local MiroFish instance for document-driven multi-agent simulations and prediction report generation.