AGENTIX · OWNED PRODUCTMCP INTEGRATION · 2026
§ Owned product · proprietary

PMS MCP

Project & finance management as governed MCP tools

PMS MCP exposes a Project/Task Management System and its Finance module to AI agents as roughly 130 typed, governed MCP tools. Current state is under internal development and code validation.

0tools · verified in code
0domains · PMS + Finance
Honest status: this is early

PMS MCP is in development (Production). It is not yet a finished, generally-available product. What's below describes what it does today, not a roadmap dressed up as a result.

§ Who it is for

A defined user.
A specific problem.

Audience

Operations, project and finance teams that want agents to work through their existing permissions instead of handing an AI a blanket administrator credential.

Pain

Direct API integrations scatter tool definitions and identity logic across agents, making calls harder to govern, scope and audit.

§ What it is

Project & finance management as governed MCP tools.

PMS MCP is an MCP (Model Context Protocol) server that puts project management and finance operations in reach of AI agents through a typed, governed tool contract rather than ad-hoc API calls. It speaks both stdio and streamable HTTP, so it works with local agent runtimes and remote clients alike. A controlled "act as a specified user" identity model lets an agent operate under the correct permissions for the person it's acting on behalf of, keeping every call scoped and auditable.

§ The change

Before → system → after.

01 · Before

Each agent integration calls project or finance APIs directly and carries its own authentication and request logic.

02 · PMS MCP

PMS MCP presents roughly 130 typed tools through one governed boundary and acts as the specified user.

03 · After

Local and remote MCP clients use the same contracts, while each operation remains scoped to the represented user's permissions.

§ How it works

A visible path
through the system.

The steps below describe the current product behaviour from the documented source of truth.

  1. 01

    Connect an MCP client

    Use stdio for a local agent runtime or streamable HTTP for a remote client.

  2. 02

    Select the represented user

    The controlled act-as-user model applies the permissions of the person the agent is representing.

  3. 03

    Call a typed tool

    The client chooses from roughly 130 governed project, task and finance tools with declared input shapes.

  4. 04

    Keep the boundary auditable

    Calls pass through the MCP server rather than becoming ad-hoc API logic inside each agent.

§ What it does

Built, not planned.

~130 typed MCP tools

Roughly 130 tools across the Project/Task Management System and its Finance module, each with a typed, governed contract so agents call them predictably.

Two governed domains

Covers both project/task management and finance operations from a single MCP server, rather than separate bolt-on integrations.

stdio and streamable HTTP

Speaks both transports, so it works with local stdio-based agent runtimes and remote streamable-HTTP MCP clients.

Act-as-user identity model

Supports a controlled "act as a specified user" mode, so an agent operates with the permissions of the person it's representing rather than a blanket service account.

§ Stack

Deterministic core.
Provider-agnostic edge.

PythonFastMCPMCPstdio + HTTP
§ Practical fit

Deployment, with
the boundaries visible.

Deployment

Run the MCP server over stdio beside a local agent runtime, or expose its streamable HTTP transport to approved remote clients. In both cases, clients use the same typed PMS and Finance tool contracts and the same act-as-user identity boundary.

Limitations

  • The documented scope is the connected Project/Task Management System and its Finance module, not a general connector catalogue.
  • Act-as-user does not grant blanket administrator access; an operation remains limited by the represented user's permissions.
  • The published product facts do not claim support for systems outside the current PMS and Finance domains.
Next step

See whether PMS MCP
fits your system.

We'll show what exists today, state the limits plainly and decide whether an early product is the right fit.

AGENTIX TECH · owned product · In development