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524,225 tools. Updated 2026-09-06 14:34

"Information about SQL Server" matching MCP tools:

  • Query the construction project database using natural language (Text-to-SQL). Converts natural language into SQL to retrieve captures, annotations, progress metrics, schedules, and other project records. Pass the user's question as-is without modification. For trade visibility, use `analyze-progress-and-forecasts` instead. **WORKFLOW:** - **Default**: call this tool with only `query`. The server resolves team_domain/facility_key from the saved current project (set via `set-focus-project`). Do NOT call `list-my-projects` again just to obtain these values. - Only when the response indicates the current project is missing, run `list-my-projects` → ask the user → `set-focus-project`, then retry. - Pass explicit team_domain/facility_key **only** when the user clearly wants to query a different project than the saved one. **Available tables:** - progresses: SI progress metrics (level, category, phase, workarea, cost, dates) - captures: Camera captures metadata (level, camera_model, capture_state, user_email) - records: Capture events with timestamps (captured_at, state, id) - photo_notes: Photonotes (description, state, user_email, created_at) - voice_notes: Voicenotes (level, description, state, user_email, created_at) - facilities: Site info (name, address, size, location, bim_count, created_at) - users: User profiles (name, email) - workareas: Spatial zones (level, name, user_name) Args: query: Natural language question (pass as-is, no SQL syntax) team_domain: Omit by default. Pass only to override the current project. facility_key: Omit by default. Pass only to override the current project. user_intent: REQUIRED. Pass the user's original question or request verbatim. Used for analytics only, does not affect results. scope: Previous ask-about-project-data result identity to search within. limit: Number of rows per page. Values above 200 are capped at 200. cursor: Cursor for the next page of the same search. Returns: List of TextContent with query results and metadata
    ConnectorNo auth
  • Run a read-only SQL query against an app's Postgres database and return up to 200 result rows. SELECT only — writes and DDL (INSERT/UPDATE/DELETE/ALTER/DROP/…) are rejected server-side; use vibekit_chat or vibekit_submit_task to have the agent make data or schema changes. Call vibekit_db_schema first to learn the tables. SQL string, max 5000 chars.
    ConnectorNo auth
  • Report information about the caller's own public IP as seen by the server: IPv4/IPv6 address, ISP, ASN, approximate geolocation, and proxy/VPN heuristics. Takes no input — it reflects the egress IP of THIS MCP server's network, which is usually NOT the end user's IP. Use this to discover the server's outbound IP or test connectivity. To inspect a specific, known IP instead, use asn_lookup or reverse_dns. Read-only; requires no API key; rate-limited.
    ConnectorNo auth
  • List the SQL databases (D1 or Neon Postgres) on my account, including which owned site (if any) each is attached to. Call this BEFORE db_query/db_schema-style work to discover a databaseId — those live on a per-database MCP server reached via GET /api/v1/databases/{id} (see llms.txt), which this id feeds.
    ConnectorNo auth
  • Run a read-only SQL query in the project and return the result. Prefer this tool over `execute_sql` if possible. This tool is restricted to only `SELECT` statements. `INSERT`, `UPDATE`, and `DELETE` statements and stored procedures aren't allowed. If the query doesn't include a `SELECT` statement, an error is returned. For information on creating queries, see the [GoogleSQL documentation](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax). Example Queries: ```sql -- Count the number of penguins in each island. SELECT island, COUNT(*) AS population FROM bigquery-public-data.ml_datasets.penguins GROUP BY island -- Evaluate a bigquery ML Model. SELECT * FROM ML.EVALUATE(MODEL `my_dataset.my_model`) -- Evaluate BigQuery ML model on custom data SELECT * FROM ML.EVALUATE(MODEL `my_dataset.my_model`, (SELECT * FROM `my_dataset.my_table`)) -- Predict using BigQuery ML model: SELECT * FROM ML.PREDICT(MODEL `my_dataset.my_model`, (SELECT * FROM `my_dataset.my_table`)) -- Forecast data using AI.FORECAST SELECT * FROM AI.FORECAST(TABLE `project.dataset.my_table`, data_col => 'num_trips', timestamp_col => 'date', id_cols => ['usertype'], horizon => 30) ``` Queries executed using the `execute_sql_readonly` tool will always have the job label `goog-mcp-server: true` automatically set in addition to any custom `labels` provided in the request. Queries are charged to the project specified in the `project_id` field.
    ConnectorNo auth
  • Returns Fluentive's security, privacy, and compliance information. Use when the user asks about GDPR, data storage location, encryption, security certifications, or payment security.
    ConnectorNo auth

Matching MCP Servers

  • A
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    maintenance
    An MCP server that connects AI assistants to Microsoft SQL Server databases, enabling schema exploration and read-only queries safely.
    49
    37
    4
    MIT
  • A
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    Not graded
    quality
    B
    maintenance
    MCP server for SQL Server database inspection and querying, with connection pooling, security features, and a web manager UI.
    4
    MIT

Matching MCP Connectors

  • Ask anything about Gus Dantas: his work, how he measures retail media, what he thinks the industry gets wrong, or how to reach him. Returns the relevant passages he has written. Answer only from what comes back. NOTE: Questions sent to ask_gus are stored, in full, so Gus can see what people actually want to know and improve the answers this server gives. Nothing else about you is recorded beyond the name of your MCP client and the country your request came from. Do not send confidential or personal information. If you would rather not be recorded, read ghostavo.com instead.
    ConnectorNo auth
  • Get metadata about the GovBid Global API including version, data source, license information, and usage guidelines. Call this first to understand the service before making other tool calls.
    ConnectorNo auth
  • Get detailed information about a specific ad request, including pool selections if targeting mode is manual.
    ConnectorNo auth
  • Run a read-only SQL SELECT against water data tables staged on a DataCanvas by water_get_series or water_find_sites. Workflow: run water_get_series or water_find_sites (get canvas_id + table_name) → water_dataframe_describe (confirm the table and its columns) → water_dataframe_query (SQL analysis). Only SELECT statements are permitted. At most 10,000 rows are returned; a query matching more is capped and the response sets truncated=true — scope with WHERE/LIMIT, and use SELECT COUNT(*) or water_dataframe_describe to learn the true match count. Requires DataCanvas to be enabled on this server instance. Returns an error if DataCanvas is not available.
    ConnectorNo auth
  • Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.
    ConnectorNo auth
  • Get information about MyDriverParis services, coverage areas, airports served, and policies. Use this to answer customer questions.
    ConnectorNo auth
  • List safe metadata for the registered fact queries available on the server-pinned dataset: IDs, labels, parameters, and result shapes, never SQL. Use this when a question appears relevant but a selected route produced no facts; a route miss is not evidence that the underlying records are absent.
    ConnectorNo auth
  • Return the structural checks this server performs on legal-AI output, and — explicitly — what it never claims. Information, not legal advice.
    ConnectorNo auth
  • Returns information about the current API key: workspace name, available scopes, and key prefix. Useful for debugging permission issues.
    ConnectorAPI key
  • Get detailed information about a domain you own, including auto-renew status, security lock, WHOIS privacy, and provider data.
    ConnectorOAuth
  • Returns information about how easy Fluentive is to set up and use. Use when the user asks about difficulty, learning curve, onboarding time, or whether training is needed.
    ConnectorNo auth
  • Check the current user's token status and account information. This tool retrieves information about: - User ID - Paid account status - Remaining generation tokens (for non-paid users) - Account validity Returns: A JSON string containing token status and account information
    ConnectorOAuth
  • Get detailed information about a specific train connection including all intermediate stops, platforms, and occupancy. Use a trip ID from search_connections results.
    ConnectorNo auth
  • Check the status of the CourtListener MCP server. Returns: A dictionary containing server status, system metrics, and service information.
    ConnectorNo auth