Cequence AI Gateway MCP

Endpoint

Hosted endpoint · transport http

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

Tools

• list_third_party_apps — Browse the Cequence-curated catalog of apps you can build an MCP server from.
• get_third_party_app — Fetch one catalog app's endpoints (API) or tools (MCP).
• list_api_specs — List the tenant's uploaded custom API specs.
• get_api_spec — Fetch one API spec's endpoints.
• list_mcp_specs — List the tenant's saved remote-MCP specs.
• get_mcp_spec — Fetch one MCP spec's tool inventory.
• list_mcp_servers — Discover deployed MCP servers (gateways) in the tenant.
• list_tools_for_mcp_server — List a single MCP server's tool definitions.
• list_apis — List registered REST APIs (the API Registry).
• get_api_registry — Fetch a registered API's operations.
• list_pools — List private deployment pools.
• list_teams — List teams (SSO-mapped user groups).
• list_skills — List registered skills.
• get_skill — Fetch one skill's full content.
• list_sdp_categories — List standard sensitive-data-protection categories.
• list_dlp_policies — List DLP policies, optionally scoped to a persona.
• list_agent_personas — List agent personas.
• get_agent_persona — Fetch one persona, including its connect URL.
• query_tool_activity — Observability — logs, summary, facets, trends, log detail and sensitive-data findings.
• recommend_dlp_policy — Recommend a DLP policy for a persona (deterministic).
• create_mcp_server — Create an MCP server from an API or remote-MCP spec.
• create_agent_persona — Create an agent persona.
• update_agent_persona — Apply partial edits to an existing persona.
• create_skill — Create a reusable skill in the Skill Registry.
• attach_dlp_policy — Create and attach a DLP policy to an existing persona.

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.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.

Work with this as data

Every MCP server here is available over the APIs.io API and to AI agents over MCP.

curl "https://apis.io/api/v1/mcp/cequence-ai-gateway-mcp"

curl "https://apis.io/api/v1/mcp?limit=25"