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Firefish MCP. Manage candidate data and job pipelines via chat.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Firefish MCP on Cursor AI Code Editor MCP Client Firefish MCP on Claude Desktop App MCP Integration Firefish MCP on OpenAI Agents SDK MCP Compatible Firefish MCP on Visual Studio Code MCP Extension Client Firefish MCP on GitHub Copilot AI Agent MCP Integration Firefish MCP on Google Gemini AI MCP Integration Firefish MCP on Lovable AI Development MCP Client Firefish MCP on Mistral AI Agents MCP Compatible Firefish MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Firefish MCP Server manages your entire talent pipeline. Use AI agents to list, get, and create candidate profiles, track job vacancies, and view company data directly within your workflow.

Stop switching tabs and start automating your recruitment process.

What your AI agents can do

Create candidate

Adds a brand new candidate record to your Firefish system.

Get candidate

Retrieves all specific details for a single candidate by their ID.

Get company

Fetches detailed information about a specific client company.

+ 9 more capabilities included
Build or Update Candidate Records

Creates a new candidate profile or updates an existing one in the Firefish system.

Fetch Candidate Details

Retrieves a full, specific profile for a single candidate using their unique ID.

Retrieve Company Information

Gets detailed metadata about a specific client company or organization.

Get Contact Information

Fetches contact details for a specific person associated with a company.

Query Job Vacancies

Retrieves the full details and metadata for a specific job posting.

List Available Job Openings

Retrieves a list of all currently active job vacancies in your system.

List All Candidates

Generates a list of all candidates currently stored in the Firefish database.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

create019d7599

create candidate

Adds a brand new candidate record to your Firefish system.

get019d7599

get candidate

Retrieves all specific details for a single candidate by their ID.

get019d7599

get company

Fetches detailed information about a specific client company.

get019d7599

get contact

Retrieves contact details for a person linked to a company.

get019d7599

get job

Gets all the details for a specific job vacancy posting.

list019d7599

list actions

Lists the most recent actions performed by any recruiter in the system.

list019d7599

list adverts

Shows a list of all currently running job advertisements.

list019d7599

list candidates

Generates a list of every candidate profile in the Firefish database.

list019d7599

list companies

Lists all client companies recorded in your Firefish account.

list019d7599

list contacts

Generates a list of all contacts linked to your companies.

list019d7599

list jobs

Lists all active job vacancies in your Firefish system.

list019d7599

list placements

Shows a list of all successfully completed job placements.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Firefish, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

Firefish MCP Server manages your entire talent pipeline. You'll use your AI agent to list, get, and create candidate profiles, track job vacancies, and view company data right in your workflow. Stop switching tabs and start automating your recruitment process.

Build or Update Candidate Records
You can use create_candidate to drop a brand new candidate record into Firefish. You'll use get_candidate to pull all the specific details for a single candidate when you know their ID.

List All Candidates
Need a rundown of everyone? list_candidates generates a list of every profile in the Firefish database.

Fetch Candidate Details
You've got get_contact to pull contact details for any person tied to a company.

Retrieve Company Information
Use get_company to pull detailed info on a specific client company. You can also run list_companies to get a list of all client companies in your Firefish account.

Get Contact Information
To find a person's details, get_contact pulls the necessary contact information for someone linked to a company.

Query Job Vacancies
Want the full scoop on a job? get_job gets all the metadata for a specific job posting. You can also use list_jobs to get a list of every active job vacancy in the system.

List Available Job Openings
If you need a quick overview, list_adverts shows you all currently running job advertisements, and list_jobs gives you a list of all active job vacancies.

Placement and Activity Tracking
list_placements shows you a list of all successfully completed job placements. You can check list_actions to see the most recent actions any recruiter performed in the system.

How Firefish MCP Works

  1. 1 Subscribe to the Firefish server through the Vinkius Marketplace.
  2. 2 Provide your Firefish Client ID and Secret keys, which you find in the Firefish Settings > Integrations section.
  3. 3 Use your AI client to issue commands like 'Get me the details for candidate X' to pull data from your CRM.

The bottom line is, your AI client talks directly to Firefish, pulling and pushing data without you ever leaving your chat window.

Who Is Firefish MCP For?

This is for high-volume recruitment teams. Think of the Headhunter who needs a candidate's full history while talking to a hiring manager. Or the TA Manager who needs a quick, holistic view of every active job and placement. If your job involves data hopping between a CRM, a job board, and an internal spreadsheet, this is for you.

Recruiter / Headhunter

Pulls candidate details or job specs instantly while discussing requirements with a hiring manager on a call.

Talent Acquisition Manager

Gets a bird's-eye view of active placements and job adverts using simple conversational commands.

Recruitment Agency Owner

Automates the retrieval of team actions and company data to build performance reports and review pipelines.

What Changes When You Connect

  • You get a full candidate profile instantly. Instead of jumping into the CRM to find John Smith's history, you just ask your agent to get_candidate and get the full details right here.
  • See all job vacancies at a glance. Use list_jobs to monitor every open role without opening the job tracking dashboard. It's all in the chat.
  • Keep an audit trail of who did what. list_actions retrieves a list of recent recruiter actions, giving you a clear history of engagement for performance reviews.
  • Build new data points easily. If you find a promising candidate, you can use create_candidate to log them immediately, keeping your pipeline current.
  • Know your clients inside and out. Before a meeting, use get_company and get_contact to pull key insights on the client's organization and the primary contact.
  • Track your success rates. list_placements lets you see a summary of successful job placements and how the team is doing overall.

Real-World Use Cases

01

Need to vet a candidate's background before a call

A recruiter is prepping for a call with a hiring manager. Instead of opening the CRM, they ask the agent to get_candidate using the name. The agent runs the tool, returning the candidate's full profile and job history instantly. The recruiter can then use this data in their talking points.

02

Quickly audit team activity after a major pitch

A manager wants to review what the team did last week. They ask the agent to list_actions. The agent pulls all recent recruiter activity—like emails sent or calls logged—allowing the manager to build a performance report without manually checking logs.

03

Define the scope of a new hiring initiative

The TA team needs to know what roles are open and what companies are involved. They ask the agent to run list_jobs and then list_companies. This provides a comprehensive list of active needs and the client organizations supporting them, defining the project scope.

04

Add a promising lead to the system instantly

A recruiter meets someone at a conference. They tell the agent, 'Add this person.' The agent uses create_candidate and prompts the user for the required data fields, logging the lead immediately and keeping the pipeline clean.

The Tradeoffs

Juggling 5+ tabs to gather one profile

A recruiter opens the main CRM dashboard, clicks 'Candidates,' filters by 'Active,' finds the person, clicks on them, then copies the job title, then opens a separate 'Companies' tab to check the client, and finally switches to the 'Activity' tab to see recent notes. This takes minutes.

Ask your agent to get_candidate first. Then, if you need context, ask the agent to get_company for the client. It pulls all the necessary data and context in one conversation flow.

Assuming data is up-to-date

A manager sees a candidate's status in the UI but doesn't know if the last action was logged. They rely on outdated information, leading to miscommunication.

Always ask the agent to list_actions. This pulls the most recent, system-logged activities, giving you the definitive audit trail of who did what and when.

Trying to manually compile lists of roles

A hiring manager asks for all open roles, so the user has to navigate to the 'Jobs' section, click 'View All,' and manually copy the titles and IDs into a spreadsheet.

Just ask the agent to list_jobs. It gives you a clean, structured list of all open vacancies, ready to paste or analyze.

When It Fits, When It Doesn't

Use this server if your job requires cross-referencing three or more data points—like linking a candidate's profile (get_candidate) to a company's details (get_company) and seeing which jobs they applied for (get_job). It's built for complex, interconnected workflows.

Don't use this if you just need a single, simple list, like 'show me all candidates' (list_candidates). For simple reporting, a basic dashboard might be faster. But if you need the data and the ability to act on it (like create_candidate), this is the right tool.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Firefish. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

create_candidate get_candidate get_company get_contact get_job list_actions list_adverts list_candidates list_companies list_contacts list_jobs list_placements

Finding a candidate's full history shouldn't require five different screens.

Today, figuring out a candidate's full history is a mess. You jump to the CRM, find their profile. Then you have to open a separate tab to see their job history or their associated company. You copy/paste the company name into a second tool just to check the client's background. You're jumping between five different views and wasting time.

With this MCP server, you just ask your agent: 'What's the full story on John Smith?' The agent runs the necessary tools (`get_candidate`, `get_company`) and gives you one cohesive answer in your chat. You get the data, instantly.

Firefish MCP Server: List all job vacancies instantly

Before, you had to navigate to the job board section, filter by 'Open,' and then manually scroll through dozens of listings, copying titles and IDs into a master sheet. It was a manual, tedious process that often missed roles.

Now, you ask the agent to `list_jobs`. It returns a clean, structured list of every open vacancy. It’s a single command that replaces the entire dashboard navigation and copy/paste cycle.

Common Questions About Firefish MCP

How do I use the `get_candidate` tool with Firefish MCP Server? +

You must provide the candidate's unique ID. You ask your agent to 'Run get_candidate for ID cand_123.' The agent then pulls the full profile details, including job history and current status.

Can I list all job vacancies using the `list_jobs` tool? +

Yes. Asking the agent to list_jobs retrieves a complete list of every job vacancy currently tracked in the system. This list is useful for defining project scope.

What is the difference between `list_companies` and `get_company`? +

list_companies gives you a list of all client organizations. get_company requires a specific company ID and returns the complete, detailed profile for just that one company.

How does `create_candidate` work in Firefish MCP Server? +

You use create_candidate when you meet a new lead. You give the agent the name and initial details, and the tool logs a brand new candidate record into your CRM.

Do I need to use the `list_adverts` tool to see job openings? +

No. Use list_jobs for the core list of vacancies. list_adverts specifically shows active job advertisements, which may be a different view of the same data.

What tools can I use to check a candidate's full history, like `get_candidate` and `list_actions`? +

Yes, you combine them. Use get_candidate to pull the core profile, and then use list_actions to see the activity trail. This gives you both the current status and the history of engagement.

How do I find out what job advertisements are active using the `list_adverts` tool? +

The list_adverts tool pulls a list of all current job ads. This tells you exactly where your recruitment efforts are focused right now, without needing to check the main job list.

If I need to find a contact's details, should I use `get_contact` or `list_contacts`? +

You use list_contacts to see a directory of all contacts. When you know the specific contact, use get_contact to pull their full, detailed record.

How do I ensure the candidate data is up to date? +

The Firefish MCP server fetches data directly from your live Firefish environment. Use the 'getCandidate' tool to retrieve the most recent profile information for any specific candidate ID.

Can I filter jobs by their current status? +

Yes! The 'listJobs' tool retrieves all active jobs. You can then ask your AI agent to sort or filter these results based on status, title, or hiring company.

What format should I use for creating a new candidate? +

Use the 'createCandidate' tool by providing the first name, last name, and email address. The agent will handle the underlying API request to ensure the record is created correctly in Firefish.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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