Claude Tools API
The Claude MCP server exposes twenty-one tools. All tools are registered under the claude_reviewer server name (configurable in your .mcp.json).
review
Send code, plans, or diffs for structured review.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
content | string | Yes | The content to review (max 500KB) |
context | string | No | Additional context for the reviewer |
Response
interface ReviewResult {
verdict: "APPROVED" | "NEEDS_REVISION";
issues: ReviewIssue[];
suggestions: string[];
}
interface ReviewIssue {
severity: "critical" | "major" | "minor";
description: string;
recommendation: string;
}
Example
Input:
{
"content": "function login(user, pass) {\n const query = `SELECT * FROM users WHERE name='${user}' AND pass='${pass}'`;\n return db.exec(query);\n}",
"context": "Authentication module for the web API"
}
Output:
{
"verdict": "NEEDS_REVISION",
"issues": [
{
"severity": "critical",
"description": "SQL injection vulnerability via string interpolation",
"recommendation": "Use parameterized queries: db.prepare('SELECT * FROM users WHERE name=? AND pass=?').get(user, pass)"
}
],
"suggestions": [
"Hash passwords instead of storing/comparing plaintext",
"Add rate limiting to prevent brute-force attacks"
]
}
ask
Ask Claude a freeform question about code.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
question | string | Yes | The question to ask (max 500KB) |
cwd | string | No | Working directory for file access |
Response
Plain text string with Claude's response.
Example
Input:
{
"question": "What design pattern does the server-factory.ts module use?",
"cwd": "/path/to/project"
}
Output:
"The server-factory.ts module uses the Factory pattern. The createServer() function
acts as a factory that takes a ServerConfig object and returns a configured McpServer
instance. This centralizes server creation logic and ensures consistent configuration
across all three bridge servers (Claude, Codex, Copilot)."
code_review
Specialized tool for reviewing git diffs.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
diff | string | Yes | The git diff to review (max 500KB) |
context | string | No | Additional context for the review |
Response
Same ReviewResult structure as the review tool.
Example
Input:
{
"diff": "diff --git a/src/auth.ts b/src/auth.ts\n--- a/src/auth.ts\n+++ b/src/auth.ts\n@@ -10,6 +10,7 @@\n+ if (!token) return null;\n const decoded = jwt.verify(token, SECRET);",
"context": "Adding null check for missing auth tokens"
}
Resume & Career Tools
All 18 tools below are also available on the Codex and Copilot servers with identical parameters. All return plain text with structured AI-generated content. For full methodology details and usage examples, see SKILLS.md and the Resume Tools Guide.
career_fact_extractor
Extract a structured, fact-ID-tagged database of career facts from any source material. Use before resume_tailor to enforce truthful, evidence-mapped tailoring.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
source_material | string | Yes | Resume, LinkedIn profile, brag doc, performance reviews, project notes — any source of career information (max 100KB) |
additional_context | string | No | Target role, industry, or any other relevant context |
Example
{
"source_material": "Jane Smith, Senior PM at Acme 2021–2024. Led checkout redesign, cart abandonment dropped from 68% to 41%...",
"additional_context": "Targeting Staff PM roles at Series B startups"
}
Workflow
Run career_fact_extractor first, then pass its output as the career_facts parameter to resume_tailor for fully evidence-mapped tailoring.
cover_letter_generator
Generate a personalized cover letter with match analysis, alternative hooks, and interview talking points.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
resume | string | Yes | Candidate's resume or experience summary |
job_description | string | Yes | Full job posting text |
company_name | string | Yes | Name of the target company |
role_title | string | Yes | Title of the role being applied for |
additional_context | string | No | Mutual connections, company news, personal motivation |
Example
{
"resume": "Jane Smith, Senior PM, 8 years...",
"job_description": "We're hiring a Senior PM to lead growth...",
"company_name": "Acme Corp",
"role_title": "Senior Product Manager, Growth",
"additional_context": "I noticed Acme just raised a Series B."
}
creative_portfolio_resume
Generate both an ATS-compatible and a fully designed resume for creative professionals.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
experience | string | Yes | Work history and project experience |
skills | string | Yes | Creative and technical skills |
field | string | Yes | Creative field (e.g. graphic_design, ux_design, photography, writing, marketing) |
target_role | string | No | Specific role being targeted |
portfolio_url | string | No | URL of the candidate's portfolio |
additional_context | string | No | Any additional information |
executive_resume_writer
Create a 2-3 page executive resume focused on leadership brand and strategic transformation story.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
experience | string | Yes | Career history including company context and scope |
current_level | string | Yes | One of: c_suite, vp, director, other_executive |
target_role | string | No | Target role or title |
industry | string | No | Target industry |
board_experience | string | No | Board and advisory roles |
additional_context | string | No | Any additional information |
interview_prep_generator
Generate STAR-method interview prep with predicted questions ranked by probability.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
resume | string | Yes | Candidate's resume |
job_description | string | Yes | Job posting text |
company_name | string | Yes | Target company |
role_title | string | Yes | Role being interviewed for |
interview_format | string | No | e.g. behavioral, technical, panel, case study |
additional_context | string | No | Any additional information |
job_description_analyzer
Extract requirements, score match against a resume, detect red flags, and generate application recommendations.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
job_description | string | Yes | Full job posting text |
resume | string | No | Candidate's resume (enables match scoring) |
additional_context | string | No | Any additional information |
Example
{
"job_description": "We are looking for a Staff Software Engineer...",
"resume": "John Doe, Software Engineer, 6 years..."
}
linkedin_profile_optimizer
Rewrite a LinkedIn profile for recruiter visibility using LinkedIn's search algorithm best practices.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
current_profile | string | Yes | Current LinkedIn profile content (headline, about, experience) |
target_role | string | No | Role type being targeted |
industry | string | No | Target industry |
resume | string | No | Resume for reference |
additional_context | string | No | Any additional information |
portfolio_case_study_writer
Write a structured portfolio case study in the six-section framework (Overview, Problem, Process, Solution, Results, Learnings).
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
project_description | string | Yes | Project context including your role and constraints |
outcomes | string | Yes | Results, metrics, and impact achieved |
field | string | Yes | One of: product_management, design, engineering, marketing, other |
depth | string | No | essential (~700 words) or deep_dive (~2500 words). Default: essential |
additional_context | string | No | Any additional information |
reference_list_builder
Build a reference strategy with formatted list, briefing email templates, and talking points per reference.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
references | string | Yes | List of potential references with their details |
target_role | string | Yes | Role being applied for |
company_name | string | Yes | Target company |
resume_highlights | string | No | Key achievements for references to emphasize |
additional_context | string | No | Any additional information |
resume_ats_optimizer
Optimize a resume to pass ATS screening via keyword matching and formatting compliance fixes.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
resume | string | Yes | Current resume text |
job_description | string | Yes | Job posting to optimize against |
industry | string | No | Industry context (tech, finance, healthcare, marketing) |
additional_context | string | No | Any additional information |
resume_bullet_writer
Transform weak, duty-focused bullets into achievement-focused statements using the X-Y-Z formula.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
bullets | string | Yes | One or more bullets to transform (one per line) |
role_context | string | Yes | Role, company, and industry context |
metrics_available | string | No | Any data or numbers that can be incorporated |
additional_context | string | No | Any additional information |
resume_formatter
Audit and fix resume formatting for ATS compliance and human readability.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
resume | string | Yes | Resume text to format |
career_level | string | Yes | One of: entry_level, mid_level, senior_executive |
additional_context | string | No | Any additional information |
resume_quantifier
Add data-driven metrics to every bullet using six metric categories and estimation methodology.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
bullets | string | Yes | Bullets to quantify (one per line) |
role_context | string | Yes | Role and industry context |
data_available | string | No | Any raw data or numbers to draw from |
additional_context | string | No | Any additional information |
resume_section_builder
Build targeted resume sections (summary, skills, experience, education) tailored to career stage.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
experience | string | Yes | Work history |
skills | string | Yes | Skills and competencies |
career_stage | string | Yes | One of: entry_level, mid_career, senior, executive, career_changer |
target_role | string | Yes | Role being targeted |
education | string | No | Education history |
additional_sections | string | No | Projects, volunteer work, certifications, etc. |
additional_context | string | No | Any additional information |
resume_tailor
Tailor a master resume to a specific job posting by selecting and emphasizing relevant experience. When career_facts is provided, every tailored bullet maps to a source fact ID — producing an evidence map, a list of removed unsupported claims, and questions for missing proof.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
resume | string | Yes | Master resume or current resume |
job_description | string | Yes | Full job posting text |
company_name | string | Yes | Target company |
role_title | string | Yes | Role being applied for |
career_facts | string | No | Fact-ID-tagged output from career_fact_extractor — enables evidence map and removed-claims output |
additional_context | string | No | Any additional information |
Example (with evidence map)
{
"resume": "[master resume text]",
"job_description": "[full job posting]",
"company_name": "Stripe",
"role_title": "Engineering Manager",
"career_facts": "[output from career_fact_extractor]"
}
recruiter_first_screen_simulation
Simulate a skeptical hiring manager's 45-second resume screen. Returns a Yes/Maybe/No decision, scores across 6 dimensions, and exact text to rewrite before applying.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
resume | string | Yes | The resume to screen (max 50KB) |
job_description | string | Yes | The job description for the role (max 20KB) |
seniority_level | string | No | Expected seniority level for calibration (e.g. senior, staff, director) |
additional_context | string | No | Any additional context for the simulation |
Example
{
"resume": "[full resume text]",
"job_description": "[full job posting text]",
"seniority_level": "senior"
}
resume_version_manager
Organize and maintain multiple resume versions using a master resume strategy and application tracker.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
master_resume | string | No | Current resume or experience (to build the master from) |
existing_versions | string | No | Description of existing resume files/versions |
target_roles | string | No | Target roles and industries |
job_applications | string | No | Current or recent job applications |
additional_context | string | No | Any additional information |
tech_resume_optimizer
Optimize resumes for software engineering, data, DevOps, and technical PM roles.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
resume | string | Yes | Current resume |
role_type | string | Yes | e.g. software_engineer, data_engineer, devops_sre, technical_pm |
job_description | string | No | Target job posting (enables ATS keyword analysis) |
career_level | string | No | e.g. junior, mid, senior, staff, principal |
additional_context | string | No | Any additional information |
Example
{
"resume": "[full resume text]",
"role_type": "software_engineer",
"job_description": "[full JD text]",
"career_level": "senior"
}