
Cazi Media MCP server
Which servers in the official MCP registry are Cazi Media's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-21
- Registry namecom.cazimedia.agentnative/data-exchangeverified in the MCP registry
The registry name sits under cazimedia.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-21
- Tools14
- Server calls itselfagentnative-data-exchange
- Server version0.3.0
- Protocol version2025-06-18
On 2026-10-21 the server answered initialize and tools/list without a sign-in. First answer in 141 ms.
- Its tools do none of the product's use cases we checked: Bundle selected monday.com attachments into one downloadable zip folder; Hide shipping rates for chosen zip codes at Shopify checkout; Count Shopify inventory across several devices without losing counts.
- Checked on 4 of the 7 days it takes to judge reliability.
Once connected
- Parameters are untyped or undescribed in 6 of 14 tools: check arguments before calling.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 4 so far
- What an agent can do with it0 of 3 use cases
- Answeredmeasuring4 of the 7 daily checks it takes to print a share
- Median first answer123 ms
- Space in an agent's context≈ 1,729 tokensthe definitions of all its tools (14), which an agent carries on every turn
- Tool definitionsA · 93 of 100
- Typed results0 of 14 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 6 of 14
What an agent can do with it
- cannot · Bundle selected monday.com attachments into one downloadable zip folder
- cannot · Hide shipping rates for chosen zip codes at Shopify checkout
- cannot · Count Shopify inventory across several devices without losing counts
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
search_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.
request_dataset_materializationQueue 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.
get_materialization_statusPoll a durable materialization job. A complete result includes the query-ready dataset ID plus free sample and paid query URLs.
list_official_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…
search_discovered_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.
get_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.
list_imported_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.
sample_imported_datasetUse 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.
sample_us_federal_registerUse 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…
query_imported_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.
aggregate_imported_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.
request_capabilityUse 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…
request_paid_accessUse 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 $5/month subscription for recurring…
query_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.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"data-exchange": {
"type": "http",
"url": "https://agentnative.cazimedia.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http cazimedia https://agentnative.cazimedia.com/mcpclaude.ai, ChatGPT and other clients: add https://agentnative.cazimedia.com/mcp as a custom connector in the settings.
- com.cazimedia.agentnative/government-public-open-data-datasets-federal-state-city-statistics-census-records-police-education-schoolsanswers, 14 toolsverified in the MCP registry
- com.cazimedia.agentnative/official-provenance-aggregations-insights-free-samples-open-dataanswers, 14 toolsverified in the MCP registry
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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