VendorOps MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@VendorOps MCPsearch for vendors in the IT category"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
VendorOps MCP
VendorOps is a Model Context Protocol (MCP) server for a synthetic internal vendor-management workflow. It gives AI applications structured access to vendor records, contracts, spending, renewals, and security reviews.
The project is intentionally built in small, reviewable slices. Phase 1 uses Python, the official MCP Python SDK, SQLite, Pydantic, and pytest to expose read-only vendor data over a local stdio connection.
All vendor and contract data in this repository is synthetic.
Development
Install the locked dependencies:
uv syncRun the test suite:
uv run pytestRun the local stdio server:
uv run vendorops-mcpThe server waits for an MCP host to send protocol messages over stdin. It does not open a network port or print a user interface.
By default, VendorOps creates data/vendorops.db and seeds it with 30 synthetic
vendors. Set VENDOROPS_DB_PATH to use a different SQLite file.
Related MCP server: SupliiChain MCP Sandbox
Current MCP Capabilities
Tools
search_vendors: Search vendor records by name, category, or owner, with optional category and status filters.
Available Tools
1 toolsearch_vendorsSearch VendorsA
Search vendor records by a name, category, or owner substring. Optionally filter by exact category or vendor status.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | No | ||
| status | No | ||
| category | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| count | Yes | |
| vendors | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds important behavioral context: the query is a substring match across name/category/owner, while category and status are exact filters. However, without annotations, it does not disclose behaviors such as pagination, result limits, or behavior when no query is provided (e.g., returns all vendors). These gaps make it adequate but not fully transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded: two short sentences that immediately convey the core functionality and the optional filters. There is no redundant or filler content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the main search and filter features, and an output schema exists, so return values are documented. However, it does not explain how query and filters combine (AND vs OR), nor the behavior when the query is omitted. These are important for effective invocation, leaving a clear gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must compensate. It clarifies the semantics of the 'query' parameter (substring across fields), and the 'category' and 'status' parameters (exact filters). The 'limit' parameter is not mentioned, but its schema provides min/max/default, so the description adds value for the ambiguous parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Search vendor records by a name, category, or owner substring.' It specifies the resource (vendor records), the actions (substring search and optional exact filters), and gives enough detail to distinguish it from a generic search tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No sibling tools are listed, so explicit alternatives are not applicable. The description provides clear context on when to use the tool (searching vendors with substring or exact filters) and implies that filtering is optional. There are no exclusions or when-not guidance, but the purpose is clear enough for a standalone tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
With only a single tool, there are no overlapping purposes or ambiguity. The tool clearly defines its own scope.
The single tool name follows a clear verb_noun pattern (search_vendors), which is consistent and predictable.
The server name VendorOps implies broader vendor management, but only one search tool is provided. This is too few for the apparent scope, leaving the toolset feeling thin.
The toolset covers only searching vendors, with no create, update, delete, or other lifecycle operations. This is a severe gap for a vendor operations server.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
MCP server for Modern Treasury — payment orders, transactions, counterparties and ledgers.
Guarded MCP server for agent-readable business truth, provenance, readiness, and discovery.
API-first CRM for LLMs - contacts, companies, deals and activities over a native MCP server.
ZEN SecDB MCP server for CVE intelligence, CVSS/EPSS scoring, advisories, SSVC, and package audits.
Related MCP Servers
- FlicenseNot gradedqualityBmaintenanceDemo MCP server that exposes order and customer data as read-only tools for AI assistants, simulating a business API or internal data source.
- AlicenseNot gradedqualityCmaintenanceA lightweight, local inventory-intelligence MCP server that enables querying structured inventory schemas with read-only, zero-config tools for stock levels, velocity metrics, and purchase orders.18MIT
- AlicenseNot gradedqualityCmaintenanceProvides a sovereign, MIT-licensed MCP server for professional-service workflows, running entirely on your infrastructure with Ed25519 cryptographic signing for every action.MIT
- FlicenseNot gradedqualityBmaintenanceAn MCP server exposing narrowly scoped storage workflows with Overseer approval integration and redacted execution evidence, currently in fixture-only development for testing via stdio.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
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/jacwalste/vendorops-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server