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261,244 tools. Last updated 2026-07-05 12:05

"Setting up SQL Server connections for agent querying" matching MCP tools:

  • Configure automatic top-up when balance drops below a threshold. The configuration lives ONLY in the current MCP session — it is held in memory by the MCP server process and is lost on server restart, MCP client reconnect, or server redeploy. Top-ups are signed locally with TRON_PRIVATE_KEY and sent to your Merx deposit address (memo-routed). For persistent auto-deposit you currently need to call this tool again at the start of each session.
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  • Single-call publish by draft_id. Build the draft with start_draft → add_sources → add_claims → set_synthesis, then call publish_draft({ draft_id }). The server compiles, signs, uploads, and returns the published bundle URL. Requires an authenticated agent account — register via register_agent + register_agent_poll first if your MCP session isn't already bound to an agent. Bundle size cap is 50 MB. prxhub signs a server-side agent attestation into `attestations/agent.<keyId>.sig.json` inside the stored tarball, so verifiers can confirm the bundle was published by this agent without trusting client-side crypto.
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  • Twelve Data reference list of all supported forex currency pairs (e.g. EUR/USD). Use to enumerate or validate pair symbols before querying exchange_rate or time_series.
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  • Historical weather from the ERA5 reanalysis archive (1940–present). Requires start_date and end_date (ISO 8601 date, e.g., "2024-07-01"). ERA5 has a variable lag of up to ~5 days — for dates within the last week, use openmeteo_get_forecast with past_days instead. Uses the same variable names as the forecast API for direct comparison. Large date ranges (multi-year hourly) produce thousands of records — these spill to DataCanvas for SQL querying when canvas is enabled. At least one of hourly_variables or daily_variables is required.
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  • Return step-by-step instructions for setting up x402 USDC autopay for this MCP server. Use this if a paid tool returned a 402 error or you're onboarding a new agent that needs to pay for API calls. Free.
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  • Execute any valid read only SQL statement on a Cloud SQL instance. To support the `execute_sql_readonly` tool, a Cloud SQL instance must meet the following requirements: * The value of `data_api_access` must be set to `ALLOW_DATA_API`. * For a MySQL instance, the database flag `cloudsql_iam_authentication` must be set to `on`. For a PostgreSQL instance, the database flag `cloudsql.iam_authentication` must be set to `on`. * An IAM user account or IAM service account (`CLOUD_IAM_USER` or `CLOUD_IAM_SERVICE_ACCOUNT`) is required to call the `execute_sql_readonly` tool. The tool executes the SQL statements using the privileges of the database user logged with IAM database authentication. After you use the `create_instance` tool to create an instance, you can use the `create_user` tool to create an IAM user account for the user currently logged in to the project. The `execute_sql_readonly` tool has the following limitations: * If a SQL statement returns a response larger than 10 MB, then the response will be truncated. * The tool has a default timeout of 30 seconds. If a query runs longer than 30 seconds, then the tool returns a `DEADLINE_EXCEEDED` error. * The tool isn't supported for SQL Server. If you receive errors similar to "IAM authentication is not enabled for the instance", then you can use the `get_instance` tool to check the value of the IAM database authentication flag for the instance. If you receive errors like "The instance doesn't allow using executeSql to access this instance", then you can use `get_instance` tool to check the `data_api_access` setting. When you receive authentication errors: 1. Check if the currently logged-in user account exists as an IAM user on the instance using the `list_users` tool. 2. If the IAM user account doesn't exist, then use the `create_user` tool to create the IAM user account for the logged-in user. 3. If the currently logged in user doesn't have the proper database user roles, then you can use `update_user` tool to grant database roles to the user. For example, `cloudsqlsuperuser` role can provide an IAM user with many required permissions. 4. Check if the currently logged in user has the correct IAM permissions assigned for the project. You can use `gcloud projects get-iam-policy [PROJECT_ID]` command to check if the user has the proper IAM roles or permissions assigned for the project. * The user must have `cloudsql.instance.login` permission to do automatic IAM database authentication. * The user must have `cloudsql.instances.executeSql` permission to execute SQL statements using the `execute_sql_readonly` tool or `executeSql` API. * Common IAM roles that contain the required permissions: Cloud SQL Instance User (`roles/cloudsql.instanceUser`) or Cloud SQL Admin (`roles/cloudsql.admin`) When receiving an `ExecuteSqlResponse`, always check the `message` and `status` fields within the response body. A successful HTTP status code doesn't guarantee full success of all SQL statements. The `message` and `status` fields will indicate if there were any partial errors or warnings during SQL statement execution.
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Matching MCP Servers

Matching MCP Connectors

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Collective intelligence for AI shopping agents — product intel, deals, and more

  • Resolve human terms to the opaque integer codes faostat_query_observations needs, within a dimension: areas (countries/regions), items (commodities), or elements (metrics like production, yield, import quantity). Pass `query` for fuzzy full-text matching ("maize" → item 56), `name_contains` for a substring filter, or `code` for an exact-code lookup; omit all three to list the whole dimension. Every area match is flagged `country` or `aggregate` — aggregates (World, continents, economic groupings; codes ≥ 5000) double-count if summed with their member countries, so resolve before querying and exclude aggregates unless you want the regional roll-up.
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  • Get all active legal documents an agent must accept on registration. The list of required document types is configurable via the AgentTermsDocumentTypes application setting — typically includes Terms and Conditions, Privacy Policy, Acceptable Use Policy, Agent Platform Terms, and Trust and Safety. Each document includes its type reference, name, version, effective date, and full markdown content. Call this before register_agent so you know what the agent is accepting when setting acceptedTerms=true. No authentication required.
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  • Returns the universal context-setting primer for Hemrock models, plus an optional template-specific addendum. Always run this first before any other prompts.
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  • Free discovery. Returns detailed metadata, coverage, freshness, preferred canonical tool guidance, and first-query examples for one pack. Call this before querying a new pack so you can see time shape, coverage limits, and the paste-ready first query.
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  • Agent-friendly contact enrichment. On the first call provide contacts and enrich_fields; the server starts the job and polls internally for up to ~25s. If still running, returns {status:"pending", continuation_token, attempt, elapsed_seconds} — you MUST immediately call run_contact_enrich again with only continuation_token set. Do not ask the user. Typical jobs finish within 5 attempts. On completion the response contains record_ids and full contact records.
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  • Agent-friendly contact search. On the first call provide domains and enrich_fields; the server starts the job and polls internally for up to ~25s. If still running, returns {status:"pending", continuation_token, attempt, elapsed_seconds} — you MUST immediately call run_contact_search again with only continuation_token set. Do not ask the user. On completion the response contains record_ids, full contact records, and credits_consumed.
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  • Search licensed daycares in Lodi, CA. Filter by child age (in MONTHS — daycares think in months for under-5s), program kind (daycare / preschool / after_school), facility setting (in_home / center), or claimed-only (more reliable data). Returns up to 10 daycares with hours + tuition where available. For subsidy / bilingual / curriculum filters, follow up with `get_daycare` on a slug.
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  • Fetch metadata for one or more WHO GHO indicator codes: the full indicator name and the dimensions it supports (e.g. COUNTRY, REGION, SEX, YEAR, WORLDBANKINCOMEGROUP, AGEGROUP). Call this before querying data with who_query_indicator_data to confirm which filter dimensions are valid for a given indicator. Accepts up to 10 codes per call. Codes with no metadata are reported in the notFound array rather than causing an error.
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  • Return step-by-step instructions for setting up x402 USDC autopay for this MCP server. Use this if a paid tool returned a 402 error or you're onboarding a new agent that needs to pay for API calls. Free.
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  • Manage realtime WebSocket notifications for database tables. Actions: - "configure": Enable realtime broadcasts (INSERT/UPDATE/DELETE) on the given tables. Idempotent — already-enabled tables are skipped. - "get": Return current realtime config (which tables, active LISTEN connection, websocket URL). Parameters by action: configure: { app_id, action: "configure", tables: [...] } get: { app_id, action: "get" } After configuring, clients connect via WebSocket: ws://api.butterbase.local/v1/{app_id}/realtime Client sends: { "type": "subscribe", "table": "messages" } Server sends: { "type": "change", "table": "messages", "op": "INSERT", "record": {...} } RLS enforcement: - End-user JWT connections only receive changes they have permission to see - API key / service connections receive all changes (RLS bypassed) - Anonymous connections use butterbase_anon role policies Prerequisites: - Tables must already exist (use manage_schema action: "apply" first) - For user-scoped data, enable RLS on the table first (manage_rls action: "enable" / "create_user_isolation")
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  • Search National Flood Insurance Program (NFIP) claims data by state, county, ZIP code, and year range. Returns claim counts, amounts paid on building and contents, flood zones, and loss years. state is required — the full NFIP dataset is 2.7 million rows; unfiltered access is prohibited. When DataCanvas is enabled (CANVAS_PROVIDER_TYPE=duckdb) and results exceed the inline preview, the full result set is staged on a canvas for SQL aggregation via fema_dataframe_query. Use fema_dataframe_describe to inspect the staged table schema before writing SQL. Without canvas, results are returned inline up to the limit.
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  • Get a time series of daily or instantaneous values for a USGS site and parameter over a date range. Returns siteNumber, parameterCd, and time-ordered value records. When the server has DataCanvas enabled, large result sets (>500 records) spill to a canvas — the response includes canvas_id and table_name for SQL analysis via water_dataframe_query. Without DataCanvas, returns the most recent 500 records with truncated=true. Use water_find_sites to discover valid site numbers. Use water_list_parameters for parameter codes.
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  • Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.
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  • Initiates the creation of a Cloud SQL instance. * The tool returns a long-running operation. Use the `get_operation` tool to poll its status until the operation completes. * The instance creation operation can take several minutes. Use a command line tool to pause for 30 seconds before rechecking the status. * After you use the `create_instance` tool to create an instance, you can use the `create_user` tool to create an IAM user account for the user currently logged in to the project. * IMPORTANT: Set `ipv4_enabled` to 'false' if creating a Private Service Connect or a Private Service Access instance. * Set `free_trial` to 'true' to create a free trial instance. Free trial instances let you test majority of Cloud SQL features for up to 30 days without financial commitment. Subject to eligibility and availability. * The value of `data_api_access` is set to `ALLOW_DATA_API` by default. This setting lets you execute SQL statements using the `execute_sql` tool and the `executeSql` API. Unless otherwise specified, a newly created instance uses the default instance configuration of a development environment. The following is the default configuration for an instance in a development environment: ``` { "tier": "db-perf-optimized-N-2", "data_disk_size_gb": 100, "region": "us-central1", "database_version": "POSTGRES_18", "edition": "ENTERPRISE_PLUS", "availability_type": "ZONAL", "tags": [{"environment": "dev"}] } ``` The following configuration is recommended for an instance in a production environment: ``` { "tier": "db-perf-optimized-N-8", "data_disk_size_gb": 250, "region": "us-central1", "database_version": "POSTGRES_18", "edition": "ENTERPRISE_PLUS", "availability_type": "REGIONAL", "tags": [{"environment": "prod"}] } ``` The following instance configuration is recommended for SQL Server: ``` { "tier": "db-perf-optimized-N-8", "data_disk_size_gb": 250, "region": "us-central1", "database_version": "SQLSERVER_2022_STANDARD", "edition": "ENTERPRISE", "availability_type": "REGIONAL", "tags": [{"environment": "prod"}] } ```
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