Firmograph
Server Details
Public-record + domain-graph company lookup. Coverage block, explicit 404. x402 POST /v1/enrich.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of confusing it with another operation. Its purpose is clearly scoped to company enrichment by domain.
With a single tool named 'enrich', there are no cross-tool naming inconsistencies. The name is a concise verb that reflects the operation.
The server appears to be a single-purpose enrichment endpoint, so one tool is not unreasonable, but it is a very thin surface and offers no alternative operations such as lookup by name or batch enrichment.
The tool only supports enrichment by domain and explicitly notes that payment settlement over MCP is not enabled, meaning calls return a PaymentRequired error and cannot complete within this server. There are also coverage limitations and no fallback operations, creating a significant dead end for agents.
Available Tools
1 toolenrichFirmograph enrichARead-onlyIdempotentInspect
Firmograph Public Plane company enrichment by domain. Paid tool: x402 v2, scheme upto, USDC on Base (eip155:8453), max 30000 atomic (DG-FG-PRICE-001). Without a settled payment the call returns the x402 PaymentRequired object (isError: true). Settlement over MCP is not enabled in this version. Not universal US SMB coverage.
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | Company web domain, e.g. example.com |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations only declare readOnlyHint and idempotentHint, so the description carries real extra weight: it discloses the pricing scheme (x402 v2, scheme upto, USDC on Base, max 30000 atomic) and the exact failure mode (PaymentRequired object with isError: true). It does not describe the success payload or whether a failed call is billed, which is the notable remaining gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Four short sentences, front-loaded with purpose, then payment terms, error behavior, and a coverage caveat — each sentence carries distinct information. It is dense with protocol jargon ("scheme upto", "DG-FG-PRICE-001") that costs tokens without helping an agent decide, but nothing is redundant.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, so the description is the only place an agent could learn what a successful enrichment returns — and it only describes the failure path. Pricing, error semantics, and coverage limits are well covered, but the shape of the good-path response is entirely absent for a tool with no structured return contract.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and the single `domain` parameter is already documented with a format example in the schema. The description's phrase "by domain" only restates that, adding no constraints, normalization rules, or lookup-vs-input distinction beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
"Firmograph Public Plane company enrichment by domain" names a specific verb (enrichment), resource (company), and keying input (domain), which is enough for an agent to know exactly what the tool produces. There are no sibling tools to differentiate against, so the only gap is that "enrichment" leaves the returned field set unspecified.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives strong operational gating: it is a paid tool, a call without a settled payment returns a PaymentRequired error, and settlement over MCP is not enabled in this version — effectively telling the agent when this call cannot succeed. It also flags a coverage limitation ("Not universal US SMB coverage"). What is missing is any positive guidance on when enrichment is the right choice versus other data sources, which is moot given there are no siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
enrich
Related MCP Connectors
Public-record + domain-graph lookup. Not universal SMB. US-eligible. x402 POST /v1/enrich.
Enrich any domain into a full company profile with firmographics and buying signals.
Company enrichment for AI agents: firmographics, tech stack, headcount, funding, domain emails.
Company and contact enrichment: firmographics from a domain or IP, profiles from a work email.
Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceEnriches company data from a domain name, providing firmographics, socials, tech stack, and contact info via a pay-per-call x402 micropayment API.2MIT
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- AlicenseAqualityAmaintenanceEnables enriching company domains into structured firmographics including employee band, industry, HQ, founded year, revenue estimate, logo, and description, with source provenance and data completeness scoring.1226 npm1MIT
- AlicenseAqualityCmaintenanceEnables enrichment of company domains with verified firmographic signals including tech stack, hiring activity, email infrastructure, and SOC 2 compliance, returning compact typed JSON for AI agents.31 npmMIT
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