"Canonical" matching MCP servers:

Enables XTend developers and agents to search and retrieve canonical XTend documentation, recipes, and kit resources through read-only MCP tools, resources, and prompts served over stateless HTTP.

Enables AI agents to access and search up-to-date Solana documentation, get canonical spec references, and fix Anchor/Pinocchio Solana programs via MCP tools.

Indexes your repo's markdown into a canonical doc store, serving agents the single current doc per question via MCP to save tokens and keep all agents on the same source of truth.

Enables personal AI agents to store and recall durable, private, human-readable relationship memory about people in a user's life, using Markdown as canonical storage with disposable SQLite and vector indexes for fast retrieval.

Enables fetching and searching canonical hadith texts (Arabic and English) with cross-references and citation-safe URLs for assistants, built on FastMCP.

Enables MCP clients to create and manage long-form story projects with isolated databases, persistent drafts, canonical continuity checks, controlled updates, and local semantic retrieval through MCP tools, resources, and prompts.

Enables humans and AI agents to share canonical, versioned knowledge through MCP, with auditable provenance, review workflows, and reconciliation.

An MCP server that enables coding agents to safely verify npm/PyPI packages, retrieve cited briefs, discover GitHub repos, and fetch canonical docs, with fail-closed OSV vulnerability checks and injection-hardened output.

Enables AI agents to query databases correctly by serving governed context over MCP, including canonical metric definitions, relationships, business meaning, and guardrails, so answers come back with resolved definitions, fired filters, freshness, and a trust score instead of guesses.

MCP server for the governed knowledge layer, enabling agents to query canonical entries, retrieve conflicts, and manage proposals with strict tenant isolation and audit.

MCP server for LambdaMOO programming assistance. Provides semantic search over verbs and help topics, canonical symbol lookup, and a syntax primer to coding agents.

Local-first memory for coding agents. Discovers the memory, instructions, and rules Claude Code, Codex, and Cursor already wrote on your machine, combines them into one canonical Markdown tree, and serves grounded, cited recall through tools like ask_memory and canonical_memory.

Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.

Gives a party of AI agents a shared, curated memory vault: they can submit raw episodes, recall entities and their graph neighbors, fetch canonical answers with status and disputes, and get briefings and quest updates. A nightly consolidation pass turns those queued episodes into durable canon facts with lane authority, rumor, disputed, and secret-field handling.