Skip to main content
Glama
ai-integr8tor

Browserbase MCP Server

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v3.0.0

  • Disambiguation5/5

    Each tool targets a distinct operation: session management (start, end), navigation (navigate), interaction (act), data extraction (extract), and element observation (observe). No overlap in purposes.

    Naming Consistency5/5

    All tool names are single verbs in lowercase, following a consistent imperative style. No mixing of conventions or naming patterns.

    Tool Count5/5

    6 tools is well-scoped for a browser automation session server, covering the full lifecycle from creation to teardown, with core actions and data extraction.

    Completeness4/5

    Covers the essential session lifecycle and common operations. Missing specific actions like click or type, but 'act' is generic enough. A screenshot tool would be a minor addition.

  • Average 2.4/5 across 6 of 6 tools scored. Lowest: 1.5/5.

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

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under Apache 2.0.

  • 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.

  • Add a glama.json file to provide metadata about your server.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

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

  • Behavior1/5

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

    With no annotations, the description must disclose behavioral traits, but it fails to mention any effects (e.g., whether actions modify the page, require a loaded page, or have side effects). The agent has no insight into tool behavior.

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

    Conciseness3/5

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

    The description is very concise (one sentence), but it sacrifices informativeness. While it is not verbose, it lacks structure and essential details, making it insufficient.

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

    Completeness1/5

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

    Given the tool's simplicity (one parameter, no output schema, no annotations), the description is critically incomplete. An agent cannot determine valid inputs, expected outcomes, or when to invoke this tool.

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

    Parameters1/5

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

    The single parameter 'action' is a plain string with no description in schema or tool description. The schema coverage is 0%, and the description adds no meaning beyond the parameter name. No examples, enums, or constraints are provided.

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

    Purpose2/5

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

    The description 'Perform an action on the page' is vague and does not specify what kinds of actions are supported (e.g., click, type, scroll). It provides minimal differentiation from sibling tools like 'navigate' or 'observe', which also involve actions on the page.

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

    Usage Guidelines1/5

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

    No guidance is given on when to use this tool versus alternatives. There is no mention of prerequisites, context, or exclusions, leaving the agent without a decision framework.

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

  • Behavior2/5

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

    With no annotations and a terse description, the tool's behavioral traits are opaque. It does not disclose whether extraction is read-only, modifies state, requires authentication, or has side effects. The description only states its action, missing critical context for safe invocation.

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

    Conciseness2/5

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

    While the description is extremely short, it fails to provide necessary details. Conciseness should not sacrifice completeness; here, the sentence is too terse to be useful, especially given the absence of parameter descriptions and annotations.

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

    Completeness1/5

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

    Given the low schema coverage, no output schema, no annotations, and a vague description, the tool definition is incomplete. An agent cannot reliably determine how to invoke this tool or what to expect as output, making it nearly unusable without prior context.

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

    Parameters1/5

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

    The single parameter 'instruction' lacks any description in the schema (0% coverage) and is not explained in the tool description. The agent has no idea what format or content the instruction expects (e.g., CSS selector, natural language). This is a severe gap.

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

    Purpose3/5

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

    The description states 'Extract data from the page,' which clearly indicates a read operation to retrieve data. However, it does not specify what kind of data (e.g., text, attributes, structure), making it vague compared to sibling tools like 'observe' which may also involve data extraction. The purpose is understood but lacks precision.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use 'extract' versus alternatives like 'observe' or 'act'. The description does not indicate prerequisites (e.g., page must be loaded), nor does it mention when extraction is appropriate. This leaves the agent to infer from context.

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

  • Behavior1/5

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

    With no annotations, the description carries the full burden. It fails to disclose critical behavioral traits such as whether navigation waits for page load, handles redirects, or affects browser state. This is a significant gap.

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

    Conciseness2/5

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

    The description is extremely short, but it is not appropriately sized because it omits essential information. Conciseness should not sacrifice completeness; here it is underspecified.

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

    Completeness1/5

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

    Given a single parameter, no output schema, and no annotations, the description should provide more context about the tool's effect (e.g., updates browser context, may cancel pending operations). It does not.

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

    Parameters1/5

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

    Schema coverage is 0% (no parameter descriptions in schema). The description adds no meaning beyond what the parameter name 'url' and type 'string' already imply. It simply restates the tool's purpose.

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

    Purpose4/5

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

    The description 'Navigate to a URL' clearly states a specific verb and resource, distinguishing it from sibling tools like 'extract' or 'observe'. However, it lacks nuance about what kind of navigation (e.g., same tab, new tab) or scope.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives. Sibling tools like 'act' or 'observe' might be more appropriate for certain tasks, but no distinctions are made.

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

  • Behavior1/5

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

    No annotations are provided, so the description carries the full burden. It merely states 'observe actionable elements' without disclosing behavioral traits such as whether it returns data, triggers side effects, or requires permissions. This is insufficient.

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

    Conciseness2/5

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

    The description is extremely short but lacks substance, making it under-specified rather than concise. It fails to convey necessary information efficiently.

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

    Completeness1/5

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

    With one parameter, no schema description, no annotations, and no output schema, the description is entirely inadequate. It does not explain what the tool returns or how to use the instruction parameter effectively.

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

    Parameters1/5

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

    The only parameter 'instruction' has 0% schema documentation coverage and the description adds no information about its meaning, format, or usage. The parameter is left completely unexplained.

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

    Purpose4/5

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

    Description 'Observe actionable elements on the page' clearly states the verb (observe) and the resource (actionable elements). However, it does not differentiate from sibling tools like 'extract' which also reads content, so purpose is clear but lacks distinction.

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

    Usage Guidelines2/5

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

    No guidance on when to use this tool versus siblings such as 'act' or 'extract'. There are no explicit usage contexts or exclusions provided.

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

  • Behavior2/5

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

    Without annotations, the description carries the full burden. It mentions 'create or reuse' but does not explain the behavior in detail (e.g., what happens on multiple calls, side effects, or lifecycle). The description is too shallow for a tool that manages a session.

    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 extremely concise—just five words. It front-loads the core purpose. However, it could be slightly more descriptive without added length, e.g., mentioning that it initializes a new session or resumes an existing one.

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

    Completeness3/5

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

    For a tool with no parameters and no output schema, the description is minimally viable. It explains the basic function but lacks context on session lifecycle, error handling, or implications of 'reuse.' More detail would improve completeness.

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

    Parameters4/5

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

    There are no parameters, so the description does not need to add parameter semantics. Per the rules, zero parameters warrant a baseline of 4. The description is sufficient for this context.

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

    Purpose4/5

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

    The description clearly states that the tool creates or reuses a Browserbase session. It distinguishes itself from sibling tools (act, end, etc.) which are actions within a session. However, it does not explain what 'Browserbase' is or what a session entails, leaving some ambiguity.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives. It is implied that you use it before other session-dependent actions, but there is no explicit when/when-not/alternatives statement.

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

  • Behavior2/5

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

    No annotations are provided, and the description only says 'Close', which suggests a destructive action. It does not disclose consequences like invalidating the session or being irreversible, which is needed for safe usage.

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

    Conciseness5/5

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

    The description is a single, concise sentence with no wasted words. It efficiently communicates the core purpose.

    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?

    For a simple tool with no parameters or output schema, the description covers the essential purpose. However, it could mention that the session becomes unusable afterward.

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

    Parameters4/5

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

    There are no parameters (0 params, 100% schema coverage), so baseline is 4. The description adds no parameter info, but none is needed.

    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 clearly states the tool's purpose: closing the current Browserbase session. It uses a specific verb ('Close') and resource ('session'), and distinguishes from sibling tools like 'start' which begins a session.

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

    Usage Guidelines3/5

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

    The description implies when to use the tool (when ending a session), but does not explicitly state when not to use it or mention alternatives. Given the siblings, it's clear, but lacks explicit guidance.

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

GitHub Badge

Glama performs regular codebase and documentation scans to:

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

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

mcp-server-browserbase MCP server

Copy to your README.md:

Score Badge

mcp-server-browserbase MCP server

Copy to your README.md:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ai-integr8tor/mcp-server-browserbase'

If you have feedback or need assistance with the MCP directory API, please join our Discord server