MCP

Let AI tools read your documents over the Model Context Protocol.

FusedFrames runs a hosted Model Context Protocol server at https://mcp.fusedframes.com. There is nothing to install or run. Connect an AI tool to the URL and it can search and read your documents. The server is read-only by design, so an agent can never change the documents it depends on, and it works on every plan.

Connect your AI tool

You need an API key; see Authentication to create one. Then add the server to your tool:

claude mcp add --transport http fusedframes https://mcp.fusedframes.com \
  --header "Authorization: Bearer ff_your_key"

Any MCP client that supports a remote (HTTP) server with custom headers works. Use the URL https://mcp.fusedframes.com and an Authorization: Bearer header carrying your key.

Tools

The server offers tools only, with no resources and no prompts. Every tool is read-only and sees only what your API key can see.

ToolWhat it does
search_documentsStart here. Search every library the key can see.
get_documentFull detail for one document, edges included.
traverse_documentFollow the edges from a document.
get_document_source_recordingsThe source recordings behind a document.
list_librariesList the libraries the key can see.
get_libraryDetail for one library.
list_library_documentsList documents in one library.
library_graphThe whole graph for one library.
library_categoriesCategories with document counts.
library_tagsTags with document counts.
library_applicationsApplications with document counts.

Example prompts

Once connected, ask your AI tool to use FusedFrames:

  • "Search FusedFrames for how we handle a failed payment."
  • "Find the document about onboarding a new customer, then show the documents that usually come next."
  • "What are the categories in our Support library?"

Limits and permissions

  • MCP calls count against the same rate limits as the API.
  • The get_document_source_recordings tool needs a key with recording details access; without it the tool returns an error.
  • search_documents spends AI credit to understand your query. When the workspace is out of AI credit the tool returns a clear error instead of quietly weaker results.