Live 9 Actions

VectorVMS MCP Server
for AI Agents

Connect your AI agent to StackOne's VectorVMS MCP server and give it ready-to-use MCP tools out of the box. Auth, tool execution, and security all managed.

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VectorVMS MCP Server

Built by

StackOne

Coverage

9 Agent Actions

Extend your agent's capabilities with custom actions.

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your VectorVMS MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every VectorVMS tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every VectorVMS call.

Tools Discovery →

What is the VectorVMS MCP Server?

A VectorVMS MCP server lets AI agents work with VectorVMS data through the Model Context Protocol, Anthropic's open standard for connecting LLMs to external tools. StackOne's VectorVMS MCP server ships with pre-built actions, fully extensible via the Connector Builder, plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All VectorVMS MCP Tools

Every StackOne action for VectorVMS, ready for your agent. Scoped to exactly what you need.

Requisitions

Retrieve Requisitions
Retrieve requisitions a client has released to a specific vendor

Or Update Requisitions

Create Or Update Requisitions
Create or update requisitions in a batch

Requisition Post Results

Retrieve Requisition Post Results
Retrieve the processing results of a requisition import batch

Candidates From A Client For A Specific Vendors

Retrieve Candidates From A Client For A Specific Vendor
Retrieve candidates a vendor has submitted to a client

Candidates

Create Candidates
Submit candidates to client requisitions in a batch

Candidate Submission Results

Candidate Submission Results
Retrieve the processing results of a candidate submission batch

Updates Candidate Ranking Scores

Updates Candidate Ranking Score
Update candidate ranking scores in a batch

Candidate Score Submission Results

Retrieve Candidate Score Submission Results
Retrieve the processing results of a candidate score batch

Engagements

Retrieve Engagements
Retrieve a client engagements for a specific vendor

Set Up Your VectorVMS MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to VectorVMS in under 10 lines of code.

MCP Clients

Agent Frameworks

Claude Desktop-

JSON

Claude Desktop Docs

{
  "mcpServers": {
    "stackone": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.stackone.com/mcp?x-account-id=<account_id>",
        "--header",
        "Authorization: Basic <YOUR_BASE64_TOKEN>"
      ]
    }
  }
}

Platform Resources

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

10 min

Indirect Prompt Injection Defense for MCP Tools: A Technical Guide

MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.

12 min

MCP vs A2A: Architecture, Security, and When to Use Each

MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.

12 min

MCP vs API: What Hundreds of Connector Builds Taught Us

MCP wraps APIs, it doesn't replace them. After building hundreds of connectors that serve both, here's when each approach wins.

14 min read

VectorVMS MCP Server FAQ

Does StackOne have a VectorVMS MCP server?

Yes. StackOne offers a hosted VectorVMS MCP server, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.

VectorVMS MCP server vs direct API integration — what's the difference?

A VectorVMS MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling VectorVMS. A VectorVMS MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling VectorVMS at runtime. StackOne provides both.

How does VectorVMS authentication work for AI agents?

VectorVMS authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own VectorVMS account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.

Are VectorVMS MCP tools vulnerable to prompt injection?

Yes — VectorVMS MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.

What is the context bloat of a VectorVMS agent and how do I avoid it?

Context bloat happens when VectorVMS tool schemas and API responses eat your VectorVMS agent's memory, preventing it from reasoning effectively. A single VectorVMS query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery reduces it by loading only the tools relevant to each query.

Can I limit which actions my VectorVMS agent can access?

Yes — you can limit which actions your VectorVMS agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.

Can I create custom agent actions for my VectorVMS MCP server?

Yes — you can create custom agent actions for your VectorVMS MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research VectorVMS's API, generate production-ready connector YAML, test against the live API, and validate before you ship.

When should I NOT use a VectorVMS MCP server?

Skip a VectorVMS MCP server if your integration is purely software-to-software — direct VectorVMS API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call VectorVMS actions at runtime.

What AI frameworks and AI clients does the StackOne VectorVMS MCP server support?

The StackOne VectorVMS MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

Put your AI agents to work

All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.

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VectorVMS MCP Serverfor AI Agents