Normalized official data with provenance, aggregations, insights, free samples and agent access.
Score is being calculated. Check back soon.
aggregate_imported_datasetAggregate an official datasetUse this paid read-only tool for deterministic grouped statistics instead of downloading rows and calculating locally. Returns bounded count, sum, average, minimum, or maximum groups with dataset provenance.
| Name | Required | Description | Default |
|---|---|---|---|
| top | No | ||
| field | No | ||
| metric | No | ||
| group_by | Yes | ||
| dataset_id | Yes |
get_coverage_statusGet public-data coverage statusUse this free operational tool to decide whether available public-data coverage is sufficient or whether to request a missing capability. Returns discovery, materialization, queryable-row, queue, failure, and freshness counts.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
get_materialization_statusCheck dataset materializationPoll a durable materialization job. A complete result includes the query-ready dataset ID plus free sample and paid query URLs.
| Name | Required | Description | Default |
|---|---|---|---|
| materialization_id | Yes |
list_imported_datasetsList queryable official datasetsUse this free tool when an agent needs only datasets that can be sampled or queried now. Returns fully published warehouse snapshots with dataset IDs, row counts, freshness, and provenance.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
list_official_sourcesList official government sourcesUse this free tool to inspect which federal, state, city, police, education, and other official source scopes AgentNative currently covers. Returns each source's importer, discovery state, and materialized coverage; it does not return dataset rows.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
query_imported_datasetQuery an imported official datasetUse this paid read-only tool after sample_imported_dataset confirms the data is suitable. Returns up to 100 normalized rows from a published snapshot with bounded pagination, one exact-match filter, freshness, and provenance.
| Name | Required | Description | Default |
|---|---|---|---|
| top | No | ||
| skip | No | ||
| dataset_id | Yes | ||
| filter_field | No | ||
| filter_value | No |
query_us_federal_registerQuery the US Federal RegisterUse this paid read-only tool when the free Federal Register briefing is insufficient. Returns up to 100 normalized official records filtered by date or document type, with deterministic provenance and direct source URLs.
| Name | Required | Description | Default |
|---|---|---|---|
| top | No | ||
| type | No | ||
| end_date | No | ||
| start_date | No |
request_capabilityRequest a missing data capabilityInspectUse this state-changing tool only when existing discovery and coverage tools cannot satisfy the task. Records demand for a missing dataset, aggregation, insight, filter, freshness level, or export; repeated requests increase autonomous build priority.
| Name | Required | Description | Default |
|---|---|---|---|
| dataset | Yes | ||
| capability | Yes | ||
| source_url | No | ||
| example_query | No |
request_dataset_materializationMake a discovered dataset query-readyQueue a discovered official dataset for prioritized detached ingestion. This free idempotent operation returns a durable job ID; poll get_materialization_status until it supplies sample and query URLs.
| Name | Required | Description | Default |
|---|---|---|---|
| discovered_dataset_id | Yes | Exact catalog ID returned by search_discovered_datasets. |
request_paid_accessCreate a Stripe access checkoutInspectUse this state-changing tool only after free samples demonstrate value and the human owner approves payment. Creates a Stripe Checkout plus one-time claim URL; choose the $5 pass for research or $19/month subscription for recurring workflows.
| Name | Required | Description | Default |
|---|---|---|---|
| plan | No | pass |
sample_imported_datasetSample an official dataset for freeUse this free tool to evaluate a query-ready official dataset before paying. Returns three normalized rows, deterministic summaries, freshness, and provenance; use query_imported_dataset only after the sample proves useful.
| Name | Required | Description | Default |
|---|---|---|---|
| dataset_id | Yes | Exact query-ready dataset ID returned by list_imported_datasets. |
sample_us_federal_registerGet a free Federal Register briefingUse this free no-auth tool for current US regulatory activity or to evaluate AgentNative before paying. Returns three Federal Register records plus deterministic aggregates over the latest 25 documents, direct record URLs, provenance, and rate-limit status.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
search_discovered_datasetsSearch discovered government datasetsUse this free tool to find datasets across all discovered official sources, including candidates not yet queryable. Returns catalog matches and materialization state; use list_imported_datasets when only query-ready data is acceptable.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum matches to return; defaults to the service limit. | |
| query | No | Optional title or description keywords. | |
| source_id | No | Optional exact official source ID returned by list_official_sources. |
search_public_datasetsSearch public datasetsUse this free tool first when an agent needs official US federal data but does not yet know the dataset ID. Searches normalized catalog metadata and returns matching datasets with provenance; it does not query dataset rows.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Plain-language topic, agency, or dataset keywords, such as employment, schools, or air quality. |
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as io.github.alice/server, link the matching GitHub user or an account that owns the GitHub organization, then choose Claim with GitHub.
HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at /.well-known/glama.json on the same origin as the connector, then choose Check HTTP challenge.
DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
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For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
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Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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Normalized official data with provenance, aggregations, insights, free samples and agent access.
Official data with free samples, provenance, aggregations, freshness and agent-ready insights.
US public-records intelligence for AI agents — companies, SEC, courts, spending, licenses.
Agent-native MCP over US public + government records, entity- and parcel-keyed.
