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HasData

Facebook MCP Server

Server Quality Checklist

83%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap. The tool's purpose is clearly defined, and it is the only available operation in the server.

    Naming Consistency3/5

    The tool name follows a consistent pattern (hasdata_facebook_profile_getFacebookProfile), but since there is only one tool, there is no basis for evaluating consistency across multiple tools. The naming is descriptive and includes a provider prefix.

    Tool Count2/5

    Having only one tool feels extremely thin for a server named 'Facebook MCP Server'. The domain of Facebook data is broad, and a single tool for profile fetching does not justify a dedicated server; it would be more appropriate as part of a comprehensive social media toolkit.

    Completeness1/5

    The server claims to cover Facebook data but only offers a single tool for fetching profiles. It lacks any other operations such as searching, posting, managing pages, or accessing other resource types like groups or events. This is a severely incomplete surface for the stated purpose.

  • Average 4.1/5 across 1 of 1 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 2 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior4/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    With no annotations, the description carries the behavioral burden. It discloses that only public pages/profiles are supported, that feed pagination walks 'three posts per request via pagination.nextPageToken,' and that the counts are exact ('exact likes and talking-about counts'). This is substantive behavioral context beyond the schema, though it omits rate limits or failure behavior.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is front-loaded with the operation and return fields, then gives pagination behavior and usage scenarios. The opening 'Get Facebook Profile' is redundant with the title, and the return-field sentence is long, but the content is dense and useful rather than padded.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness4/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Since there is no output schema, the description does the necessary work of enumerating return fields and explaining the pagination flow. The schema fills in the remaining parameter-level details such as unsupported groups/private accounts. The main gap is no explicit statement about errors, rate limits, or billing, though billing is mentioned in the schema.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema coverage is 100%, and every parameter already has a rich description, including handle formats/examples, language effects, and nextPageToken pagination semantics. The description's pagination sentence mostly restates the schema's nextPageToken description, so it adds little beyond the structured documentation.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description opens with 'Fetches a public Facebook page or profile by handle' and then enumerates the exact returned data (id, name, category, bio, likes, talking-about counts, followers, posts, etc.). This clearly states what the tool does and, because no other sibling tool targets Facebook, it is easy to distinguish from the Instagram/TikTok/YouTube profile tools.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description gives concrete use cases: 'enrich company or creator records, verify a brand's reach and contact details before outreach, monitor competitor pages, or build datasets of page metadata.' It does not explicitly name alternative tools or state when not to use it, but the Facebook-specific identity and public-profile restriction provide sufficient context.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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Facebook MCP Server MCP server – quality and maintenance score on Glama

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