DataNexus MCP
RemoteAbout DataNexus MCP
Public data intelligence for AI agents: CVE, compliance, patents, contracts, domains
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://datanexusmcp.com/mcpclaude mcp add --transport http com-datanexusmcp https://datanexusmcp.com/mcp{"mcpServers":{"com-datanexusmcp":{"type":"http","url":"https://datanexusmcp.com/mcp"}}}Open in Cursor{"servers":{"com-datanexusmcp":{"type":"http","url":"https://datanexusmcp.com/mcp"}}}Open in VS Code{"mcpServers":{"com-datanexusmcp":{"type":"http","url":"https://datanexusmcp.com/mcp"}}}{"mcpServers":{"com-datanexusmcp":{"serverUrl":"https://datanexusmcp.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
55| Parameter | Type | Required | Description |
|---|---|---|---|
| signal | string | Yes | One of incorrect_data, missing_field, stale_data, not_useful, wrong_entity, or data_quality. Required for user_feedback. |
| comment | string | No | Description of the issue. Optional. Max 500 characters. |
| tool_id | string | Yes | Tool identifier, e.g. T04 or security_fetch_cve_detail. Required. |
| query_hash | string | Yes | Hash from the response being reported — found in the query_hash field of any response. Required. |
| feedback_type | enum | No | user_feedback (default) or agent_gap. Use agent_gap when the tool returned a valid response but did not serve the user's actual need.user_feedback | agent_gap |
| intended_query | any | No | What the agent was trying to accomplish — used when feedback_type=agent_gap. Optional. Max 256 chars. |
| missing_fields | any | No | List of field names that are absent or wrong. Optional. |
| gap_description | any | No | What was missing or wrong in the result — used when feedback_type=agent_gap. Optional. Max 256 chars. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.