Onto MCP Server

Onto MCP Server

Enables interaction with the Onto platform through MCP, providing tools for managing realms, templates, entities, diagrams, and relations.

Category
Visit Server

README

Onto MCP Server

FastMCP server for Onto platform access via a configured Onto API key.

Runtime Contract

Required environment variables:

  • ONTO_API_BASE
  • ONTO_API_KEY

Optional environment variables:

  • ONTO_API_KEY_HEADER default: X-API-Key
  • ONTO_API_KEY_PASSTHROUGH_HEADER default: X-Onto-Api-Key
  • MCP_TRANSPORT values: stdio, http
  • PORT
  • SESSION_STATE_API_BASE
  • SESSION_STATE_API_KEY

The server no longer supports login/password, OAuth code exchange, or manual user token flows.

In HTTP mode, Onto backend authentication can come from either:

  • server-side ONTO_API_KEY
  • incoming request header X-Onto-Api-Key (or the value of ONTO_API_KEY_PASSTHROUGH_HEADER)

SESSION_STATE_API_KEY remains optional unless you use the session-state helper tools.

Tools

  • list_available_realms()
  • about_onto(focus="")
  • search_templates(name_part, realm_id=None, include_children=False, include_parents=False)
  • search_relation_templates(realm_id, relation_type_name="", meta_ids=None)
  • search_entities_by_relations(realm_id, searched_meta_ids, predicates=None, include_descendants=True, first=0, offset=100, sort=None)
  • search_objects(realm_id=None, name_filter="", template_uuid="", comment_filter="", load_all=False, page_size=20)
  • create_realm(name, comment="")
  • update_realm(realm_id, name, comment="")
  • delete_realm(realm_id)
  • save_template(realm_id, name, comment="", template_id="")
  • create_template(realm_id, name, comment="")
  • get_template(realm_id, template_id, include_children=False, include_parents=False, name="")
  • delete_template(realm_id, template_id)
  • link_template_to_parents(realm_id, child_template_id, parent_template_ids)
  • unlink_template_from_parents(realm_id, child_template_id, parent_template_ids)
  • save_entity(realm_id, name, comment="", entity_id="", meta_entity_id="")
  • save_entities_batch(realm_id, entities)
  • create_entities_batch(realm_id, entities)
  • get_entity(realm_id, entity_id, related_diagrams=False, related_entities=False, with_empty_stickers=False, name="")
  • get_node_chat_messages(realm_id, node_id)
  • create_node_chat_message(realm_id, node_id, text)
  • search_entities(realm_id=None, name_filter="", meta_entity_id="", comment_filter="", include_inherited=False, offset=0, limit=20)
  • search_entities_with_related_meta(realm_id=None, name_filter="", meta_entity_id="", comment_filter="", include_inherited=False, offset=0, limit=20)
  • delete_entity(realm_id, entity_ids, name="")
  • save_entity_fields(realm_id, entity_id, fields)
  • delete_entity_fields(realm_id, entity_id, field_ids)
  • save_template_fields(realm_id, template_id, fields)
  • delete_template_fields(realm_id, template_id, field_ids)
  • search_diagrams(realm_id, name_part="", tag_ids=None, page=1, size=20)
  • search_context_tags(realm_id, name_part="", page=1, size=20)
  • create_context_tag_from_object(realm_id, entity_id)
  • add_diagram_tag(realm_id, diagram_id, tag_id)
  • remove_diagram_tag(realm_id, diagram_id, tag_id)
  • add_existing_nodes_to_diagram(realm_id, diagram_id, nodes)
  • create_diagram(realm_id, name, comment="")
  • get_diagram(realm_id, diagram_id)
  • update_diagram(realm_id, diagram_id, name="", comment="", tag_ids=None)
  • delete_diagram(realm_id, diagram_id)
  • create_relation(realm_id, start_entity_id, end_entity_id, relation_type_name, start_role="", end_role="", additional_properties=None)
  • update_relation(realm_id, start_entity_id, end_entity_id, relation_type_name, start_role="", end_role="", additional_properties=None)
  • delete_relation(realm_id, start_entity_id, end_entity_id, relation_type_name, name="")
  • create_meta_relation(realm_id, start_meta_id, end_meta_id, relation_type_name, start_min=0, start_max=1, end_min=0, end_max=1, equal=False)
  • update_meta_relation(realm_id, start_meta_id, end_meta_id, relation_type_name, start_min=0, start_max=1, end_min=0, end_max=1, equal=False)
  • delete_meta_relation(realm_id, start_meta_id, end_meta_id, relation_type_name)
  • saveOntoAIThreadID(thread_external_id, ctx)
  • getOntoAIThreadID(ctx)

Resources

  • onto://spaces
  • onto://user/info

Configuration Example

{
  "mcpServers": {
    "onto-mcp-server": {
      "command": "python",
      "args": ["-m", "onto_mcp.server"],
      "cwd": "/path/to/repo",
      "env": {
        "ONTO_API_BASE": "https://app.ontonet.ru/api/v2/core",
        "ONTO_API_KEY": "replace-with-onto-api-key"
      }
    }
  }
}

Running

python -m pip install -r requirements.txt
python -m onto_mcp.server

HTTP mode:

MCP_TRANSPORT=http PORT=8080 python -m onto_mcp.server

If you use HTTP mode or session-state helpers, also configure SESSION_STATE_API_KEY.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured