MCP server · Fini
fini
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⚠ Proposed MCP surface. No official hosted MCP server was found for Fini. The tools below are a candidate set derived from this provider's API, and the link points at the source descriptor rather than a live server. If Fini publishes an official server, this page will update to it on the next build.
Descriptor
Candidate descriptor · transport stdio
Tools
assignKnowledgeToAgents— Assign or unassign folders to agents in bulk.bulkDeleteConversations— Delete up to 50 conversations in one request through the public Conversations API.bulkGenerateKnowledge— Queue generate-and-save jobs for multiple source IDs in one request.checkKnowledgeJobs— Check status for one or more background knowledge-generation jobs.crawlLinks— Discover additional web URLs from one or more seed links before ingesting them as sources.createArticle— Create a live article or draft article directly in the workspace.createArticleDraft— Create a draft from an existing live article.createKnowledgeFolder— Create a folder in the knowledge tree.createRule— Create a published rule.createRuleDraft— Generate a draft rule from instructions.createTag— Create a tag inside one tag group.createTagGroup— Create a custom tag group.deleteArticle— Delete an article.deleteConversation— Delete one conversation by ID through the public Conversations API.deleteKnowledgeFolder— Delete a folder from the knowledge tree.deleteRule— Delete one rule.deleteSources— Delete source records and optionally delete the linked Articles in the same request.deleteTag— Delete one tag by tag ID.deleteTagGroup— Delete a custom tag group.duplicateRule— Create a copy of an existing rule.generateAnswer— Send a message event into Fini and return the public events created for that submission.generateKnowledge— Queue one knowledge-generation job from candidate text, with optional source or inbox linkage.getArticlesByIds— Fetch one or more articles by ID.getConversation— Fetch one public conversation by ID.getKnowledgeFolders— Return the current knowledge-tree snapshot, optionally scoped to one agent.getPromptHistory— List saved prompt versions for one agent, newest first.getPrompts— Fetch the current merged prompts for one agent.getRule— Fetch one rule by ID with its full tree.getSource— Fetch one source record by ID.getTag— Fetch one tag by ID.getTagGroup— Fetch one tag group by ID.ingestSources— Queue first-time ingestion or refresh jobs for web links or existing source IDs.initializeKnowledgeFolders— Generate a downloadable tree-import template file from an initialization prompt.listAgents— List the agents in the workspace tied to your API key so you can map names to bot IDs.listArticles— List live articles, draft articles, or both.listConversations— Read all Fini conversations for your workspace, sorted newest first, with cursor pagination.listProviderResources— Discover importable resources from a connected provider. Step 1 of the provider import flow.listRules— List rules in the workspace by type and draft state.listSources— Paginate through every source record in the workspace, with filters on source type, title, URL, linked article, and linked operation.listTagGroups— List the tag groups visible to your workspace API key, including Fini defaults and workspace-owned custom groups.listTagsAcrossGroups— List tags across one or more tag groups as a flat array.listTagsInGroup— List the tags inside one tag group.moveArticle— Move an article into a different folder.moveKnowledgeFolder— Move a folder under a different parent in the knowledge tree.persistKnowledgeFolders— Upload a tree file and persist it into the workspace knowledge graph.publishArticleDraft— Publish a draft article.publishRuleDraft— Publish a draft rule and assign it to one or more agents.refineRuleDraft— Regenerate a draft rule using refinement instructions.refreshSources— Re-fetch existing source IDs so Fini can detect upstream changes and update linked knowledge.registerProviderResources— Create or update source records from provider resources. Step 2 of the connected-source flow.updateArticle— Update an existing article.updateKnowledgeFolder— Update a folder's title, description, or active state.updatePrompts— Save a new prompt version for one agent.updateRule— Update an existing rule.updateTag— Update one tag by tag ID.updateTagGroup— Update a custom tag group.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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