Give your team an AI-native knowledge layer
Turn wikis, runbooks and internal APIs into an AI surface your team can trust: hosted MCP servers for Claude, Cursor and more.
Your wiki already has the answers. Agents still cannot use them.
Support macros, engineering runbooks, product specs, and Notion pages pile up faster than anyone can search them. Chatbots that only do fuzzy retrieval miss structure: who owns a service, which playbook applies, what the latest policy actually says.
InstantMCP.io turns those sources into a Model Context Protocol server your team can connect to Claude, Cursor, or internal agents. Instead of pasting walls of docs into every chat, tools and resources expose the knowledge with clear boundaries: workspace isolation, encrypted secrets, and access that matches how you already work.
Ops can sync runbooks on a schedule. Platform teams can expose internal APIs as safe tools. Product and support get consistent answers grounded in the same sources, not a one-off prompt someone saved in a Slack thread.
You do not need a dedicated AI platform team to start. Connect the wiki, pick what is public to the agent, and ship a hosted MCP your org can share. Scale later with SSO, audit logs, and dedicated infra when compliance asks.
Less hunting. More shipping. Same source of truth.
InstantMCP.io sits between your knowledge bases and the AI clients people already use every day.
Grounded answers
Agents query structured tools and resources instead of guessing from half-indexed search snippets.
Shared across the org
One MCP endpoint for support, eng, and product. Everyone plugs into the same knowledge surface.
Workspace isolation
Sources stay per workspace. Secrets stay encrypted. Enterprise plans add SSO and audit trails.
A practical rollout for internal AI
Start narrow, prove value, then widen access.
- 01
Pick one corpus
Start with runbooks or a product wiki, something people already ask about weekly.
- 02
Generate the MCP
Connect the source in InstantMCP.io and review the tools that get created.
- 03
Pilot with a squad
Give Claude or Cursor the endpoint for a small team and collect what is missing.
- 04
Expand the surface
Add APIs, more docs spaces, and schedule syncs once the pilot sticks.
Ultraweight optimized MCPs
InstantMCP.io does not wrap your whole API in a generic wrapper. It ships a small, focused server so agents respond quickly and stay useful.
Runtime
Lean by default
Only the tools an agent needs. Descriptions stay short. Payloads stay small.
Go-live
Endpoint ready
Hosted URL as soon as generation completes. Plug it into Claude, Cursor, or ChatGPT.
Agent loop
Quick + on-brief
Cached reads, tight schemas, fewer wasted tool calls. Users feel the difference.
Optimized code
Generated servers stay lean: tight tool schemas, no unused endpoints, handlers that do one job. Less noise for the model, fewer tokens wasted.
Deploy in seconds
Generation finishes, the hosted endpoint is live. Caching and scale are already there. No container to babysit, no weekend infra project.
Fast, accurate replies
Agents hit focused tools and cached resources, not a bloated dump of your docs. Round-trips stay short. Answers stay on the question.
Everything you need to ship
a great MCP
One platform to ingest your knowledge, generate the right tools, and serve them at scale.
From any website
Paste a URL: we crawl, parse and structure the content into MCP tools automatically.
From your docs
Markdown, PDFs, Notion, GitBook, OpenAPI specs. Drop them in, get an MCP.
Deploy in seconds
Hosted endpoint, scaling, caching and observability included out of the box.
Enterprise-ready
SSO, audit logs, rate limiting and SOC2-ready infrastructure.
Versioned & tested
Every change is versioned. Roll back instantly. Test tools before shipping.
Works with any client
Claude, Cursor, ChatGPT, Windsurf: anywhere MCP is supported.