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VeyraX MCP

Single tool to control them all — VeyraX MCP is the only connection you need to access all your tools in any MCP-compatible environment.


Model Context Protocol (MCP)

Introduction

VeyraX MCP (Model Context Protocol) is an open protocol that allows you to provide custom tools to agentic LLMs. By connecting once to the VeyraX platform, you can use all tools you’ve already integrated with VeyraX in any MCP-compatible environment—such as Claude, Cursor, VS Code, or Windserf—without juggling multiple authentications.

Why Choose VeyraX?

  • Single Authentication: Connect once in VeyraX, then use your tools across all MCP clients without separate logins or credentials.

  • Instant Access to All Tools: Any tool you connect to VeyraX is immediately available in your favorite editor or AI assistant.

  • 5-Minute Setup: Connect VeyraX to any MCP client in under five minutes.


Related MCP server: Google-Workspace-MCP-Server

Getting Started

  1. Sign up for VeyraX
    Create a free account at https://www.veyrax.com/register.

  2. Open the VeyraX Platform to Get Your API Key
    You can find your API key in your VeyraX dashboard.

    Tip: Look for the “API Key” section in your account settings.

  3. Choose Your Configuration
    Copy the complete configuration (including your API key) directly from the VeyraX platform.

  4. Select an MCP Client
    Decide which environment or editor you want to integrate with (e.g., Cursor, Claude, Windserf, VS Code).

  5. Follow the Setup Guide
    Either:

    • Use the automatic installation method (you’ll be prompted for your API key), OR

    • Manually paste the copied configuration into your MCP client’s settings.

That’s it! You’ll now have instant access to every tool you’ve linked to VeyraX in all your favorite editor and AI assistant environments.


Supported MCP Clients

  • Cursor
    Add VeyraX MCP to Cursor IDE in minutes.

  • Claude
    Use all your VeyraX-connected tools directly in Claude.

  • Windsurf
    Integrate with the Windserf IDE for a seamless coding experience.

  • VS Code
    Connect VeyraX MCP to VSCode IDE via Cline.


Have Questions?

If you have any questions, check out our documentation or contact support.

Enjoy a unified, hassle-free approach to using all your favorite tools anywhere, all thanks to VeyraX MCP!


Happy coding!

— Team VeyraX


This README is a brief starter guide. For detailed instructions and troubleshooting, please visit the official VeyraX docs.

Available Tools

3 tools
get_flowB

"Use this tool to retrieve a specific workflow by its ID.

Workflow is sequence of steps that are executed in order to get some result. Flow comes with description, steps and input schema of all methods to call.

You can call this tool once you have a flowId which usually you can get from: user directly OR using get-tools method."

ParametersJSON Schema
NameRequiredDescriptionDefault
flowIdYesThe ID of the workflow to retrieve.

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations provided, the description carries full burden of behavioral disclosure. It states this is a retrieval operation but doesn't mention whether it requires authentication, has rate limits, what happens with invalid IDs, or what the return format looks like. The description adds some context about what a workflow contains, but lacks critical behavioral details for a tool with no annotation coverage.

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 appropriately sized with three sentences. The first sentence clearly states the purpose, the second provides helpful context about workflows, and the third gives usage guidance. Each sentence earns its place, though the second sentence could be slightly more concise.

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 single-parameter retrieval tool with no output schema and no annotations, the description provides adequate basic information but lacks details about return values, error conditions, and behavioral constraints. It covers the core purpose and usage but doesn't fully compensate for the missing structured information.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents the single 'flowId' parameter. The description adds minimal value beyond the schema by mentioning that flow IDs can come from 'user directly OR using get-tools method', but doesn't provide format examples or validation rules. This meets the baseline for high schema coverage.

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 the tool's purpose: 'retrieve a specific workflow by its ID' with additional context about what a workflow is. It distinguishes from sibling 'get_tools' by focusing on retrieving a single workflow rather than listing tools. However, it doesn't explicitly differentiate from 'tool_call' which might execute workflows.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool: 'once you have a flowId' and mentions 'get-tools method' as an alternative way to obtain flow IDs. It doesn't explicitly state when NOT to use it or provide detailed alternatives, but the guidance is sufficient for basic usage.

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

get_toolsB

"Use this tool to retrieve a list of available tools from the Veyrax API. This will return dynamic tools that user has access to. You can use this tool to get the list of tools, method names and parameters, and then use tool_call tool to call the tool with the provided parameters. This method also returns all flows with name and id that user has access to (if any). "

ParametersJSON Schema
NameRequiredDescriptionDefault
questionYesQuery question that you want find answer for. Try to ALWAYS provide this field based on conversation with user. Could be your reasoning for calling tool.
toolYesGuess the tool name. Use explicit information based on the user's request or make an educated guess. It will be used for vector search for identifying the most relevant tools.

TDQS

B3/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the tool returns dynamic tools and flows based on user access, which adds some context about permissions and scope. However, it doesn't cover critical aspects like whether this is a read-only operation, potential rate limits, error conditions, or response format details, leaving significant gaps for a tool that fetches system metadata.

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 reasonably concise at four sentences, but it could be more front-loaded. The first sentence states the core purpose, but subsequent sentences mix usage guidance and additional return details without a clear hierarchical structure. Some redundancy exists (e.g., mentioning tool list retrieval multiple times).

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

Completeness2/5

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

Given the tool's complexity (fetching dynamic system metadata with access control), no annotations, and no output schema, the description is incomplete. It lacks details on return format (e.g., structure of tool/flow lists), error handling, authentication needs, or how the parameters influence results, making it inadequate for reliable agent use.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema fully documents the two required parameters (question and tool). The description doesn't add any parameter-specific information beyond what's in the schema, such as explaining how these parameters affect the search or results. This meets the baseline for high schema coverage.

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 the tool's purpose: 'retrieve a list of available tools from the Veyrax API' and mentions it also returns flows. It specifies the verb ('retrieve') and resource ('list of available tools'), but doesn't explicitly differentiate from sibling tools like get_flow or tool_call, which would require a 5.

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 provides some implied usage guidance: it suggests using this tool to get tool information before calling tool_call, and mentions it returns dynamic tools and flows. However, it lacks explicit when-to-use rules, alternatives, or exclusions compared to siblings like get_flow, leaving room for ambiguity.

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

tool_callB

"Use this tool to execute a specific method of another tool with the provided parameters based on get-tools tool response. You need to specify the tool name, method name, and any required parameters for that method."

ParametersJSON Schema
NameRequiredDescriptionDefault
methodYesThe method of the tool to call (e.g., 'get_messages', 'send_message', 'list_events')
parametersNoThe parameters required by the specific tool method being called, it is MUST HAVE field.
questionNoUser question that you want find answer for. Try to ALWAYS provide this field based on conversation with user. Could be your reasoning for calling tool.
toolYesThe name of the tool to call (e.g., 'gmail', 'google-calendar', 'slack')

TDQS

B3.4/5.0
Behavior2/5

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 mentions that parameters are 'based on get-tools tool response,' which hints at dependency, but doesn't disclose critical behavioral traits like error handling, authentication needs, rate limits, or what happens if invalid tool/method names are provided. For a meta-tool that executes other tools, this lack of transparency 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.

Conciseness4/5

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

The description is appropriately sized with two sentences that are front-loaded with the main purpose. Every sentence earns its place by explaining the tool's function and prerequisite. However, it could be slightly more concise by combining ideas, and the structure is simple but effective.

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?

Given the tool's complexity as a meta-execution tool with no annotations and no output schema, the description is moderately complete. It covers the purpose and prerequisite but lacks details on behavioral aspects like error handling or return values. For a tool that dynamically invokes other tools, more context on execution flow and results would be beneficial.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all four parameters thoroughly. The description adds minimal value beyond the schema by mentioning that parameters are 'required for that method' and 'based on get-tools tool response,' but doesn't provide additional syntax, format, or examples. Baseline 3 is appropriate when the schema does the heavy lifting.

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 the tool's purpose: 'execute a specific method of another tool with the provided parameters based on get-tools tool response.' It specifies the verb ('execute'), resource ('method of another tool'), and prerequisite ('based on get-tools tool response'). However, it doesn't explicitly differentiate from sibling tools like 'get_flow' or 'get_tools' beyond mentioning the latter as a prerequisite.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool: after using 'get_tools' to discover available tools and methods. It implies usage by stating 'based on get-tools tool response,' which guides the agent to first call 'get_tools.' However, it doesn't explicitly state when NOT to use it or name alternatives, such as directly calling other tools if their methods are already known.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 3 tool updatesv1.0.0
    • First observedget_flow
    • First observedget_tools
    • First observedtool_call

TDQS

B3.4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap: get_flow retrieves a specific workflow, get_tools lists available tools and flows, and tool_call executes a method from another tool. The descriptions explicitly differentiate their roles, making misselection unlikely.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (get_flow, get_tools, tool_call) using snake_case throughout. This predictable naming scheme enhances readability and usability for agents.

Tool Count3/5

With only 3 tools, the server feels thin for its apparent scope of managing workflows and dynamic tools. While the tools cover core operations, the low count may limit functionality, such as lacking update or delete capabilities for workflows.

Completeness3/5

The tool set covers basic retrieval and execution (get_flow, get_tools, tool_call) but has notable gaps for a workflow management domain. Missing operations include creating, updating, or deleting workflows, which could hinder agent workflows that require full lifecycle management.

Resources

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