Fair Value MCP Server

Name: Fair Value MCP Server
Author: simonmak-ascent

by simonmak-ascentversion 0.2.7i★ –iComputer or cloud

Registry namecom.ascent-partners/fair-value

Install

Overview

Description from the maker (original English)

Valuation MCP: DCF/NAV/CCA, WACC, derivatives, credit risk, fixed income, structured products.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi0 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 0 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet
PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://fair-value.ascent-partners.com/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "fair-value": {
      "command": "uvx",
      "args": [
        "fair-value",
        "fair-value-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http fair-value https://fair-value.ascent-partners.com/mcp

Or run it on your computer

claude mcp add fair-value -- uvx fair-value fair-value-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "fair-value": {
      "url": "https://fair-value.ascent-partners.com/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "fair-value": {
      "command": "uvx",
      "args": [
        "fair-value",
        "fair-value-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "fair-value": {
      "type": "http",
      "url": "https://fair-value.ascent-partners.com/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "fair-value": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "fair-value",
        "fair-value-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://fair-value.ascent-partners.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

! Caution
Maker matches the repo
The publisher (ascent-partners.com) is not the repo owner (simonmak-ascent); someone else may have listed it
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32683 servers in this category
Published to the registry more recently than 62% of the other 32683 servers in this category
Basic checks equal to or better than 29% of the other 32683 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Fair Value MCP Server safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.7) reached the registry 23 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, MCP Server Autocad Lisp Helper

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Fair Value

Professional financial valuation system for OpenCode with IFRS/IVS compliance.

mcp-name: com.ascent-partners/fair-value

Overview

A single valuation core — exposed as an MCP server, a REST API, and a Python library — whose **14 native calculate_* tools / 135 methods cover corporate, startup, and intangible valuation aligned to IVS 2025 and IFRS/IAS**:

DCF / NAV / CCA / residual income, market multiples, cost of capital (WACC, Fama-French 5-Factor, build-up)
Options, fixed income (term-structure curves), convertible bonds, structured products
IFRS 9 / HKFRS 9 credit risk (ECL, PD/LGD, CVA/DVA), actuarial PV (IFRS 17, IAS 19, IAS 37)
Fair-value adjustments (IFRS 13), expected value, and loss-making-company methods

Every result is a deterministic-first envelope carrying the centre value, solution_type, statistics (σ / percentiles, and seeded samples for the few stochastic methods), and citations resolving to verbatim IVS/IFRS clauses. 120 / 135 methods carry standards citations and the taxonomy has 0 orphan clauses, enforced by a conformance gate in CI.

Quick start (≤ 5 minutes)

Fastest path — no install:

Hosted MCP (Streamable HTTP): https://fair-value.ascent-partners.com/mcp
Hosted REST: https://fair-value.ascent-partners.com/v1/health
Frontage & docs: https://fair-value.ascent-partners.com/
Run locally, no install: uvx --from "fair-value[mcp]" fair-value-mcp

Then call any of the 14 calculate_* tools (add -help / help=true for the generated transparency record). Client config: MCP Server.

Architecture

flowchart LR

CLIENT["AI agent / OpenCode"] -->|"stdio (uvx) or Streamable HTTP"| MCP["fair-value-mcp 14 calculate_* tools · 135 methods"] HOST["Hosted · fair-value.ascent-partners.com docs/landing at / · MCP at /mcp · REST at /v1"] --> CLIENT MCP --> REG["method-spec registry (valuation://methods)"] REG --> STD["standards taxonomy + corpus IVS 2025 · IFRS/IAS · (valuation://standards)"] REG --> CORE["valuation engine DCF · NAV · CCA · WACC (FF5) · derivatives credit risk · actuarial"] CORE --> DATA["inputs from apdb-etl (cited)"] CORE --> ENV["result envelope value + statistics + citations"]

Installation

pip install -r requirements.txt   # dev workflow

or, as a package:

pip install . # base library pip install ".[mcp]" # + MCP server dependencies (fastmcp)

The console command fair-value-mcp runs the MCP server (stdio; add --http for Streamable HTTP).

MCP Server

# run locally without installing (stdio)

uvx --from "fair-value[mcp]" fair-value-mcp

or install and run

pip install "fair-value[mcp]" fair-value-mcp # stdio fair-value-mcp --http # Streamable HTTP

The server exposes 14 native calculate_* tools spanning DCF, cost of capital, market multiples, residual/asset valuation, options, expected value, credit risk, actuarial PV, sector metrics, fair-value adjustments, convertible bonds, structured products, loss-making companies, and fixed income — all derived from one method-spec registry. Add -help to any tool (or help=true) for its generated documentation with formula reference, inputs, and governing clauses.

Adoption target: ≥ 100 PyPI downloads and ≥ 1 directory listing within 90 days of the first release (tracked via the PyPI stats API and the directory listing).

REST API

The same core is exposed at /v1 (served next to MCP by mcp_server.asgi:app):

curl -s localhost:8000/v1/health

curl -s -X POST localhost:8000/v1/calculate/calculate_dcf \ -H 'content-type: application/json' \ -d '{"method":"dcf","cash_flows":[100,110],"discount_rate":0.1}'

Endpoints: /v1/health, /v1/tools, /v1/methods, /v1/standards, /v1/openapi.json, /v1/docs (Swagger UI), /v1/help/{tool}, POST /v1/calculate/{tool}. See REST API.

Web frontage (Next.js)

The hosted domain serves a Next.js frontage — landing, complete docs, methods catalogue (one page per method), standards browser, and an API playground — alongside the MCP/REST function in one Vercel project. It is data-driven: the catalogue is generated from the registry at build time (scripts/gen_web_data.py → data/catalog.json).

pnpm install

pnpm dev # http://localhost:3000 (expects /v1 from the API for the playground) pnpm build # prebuild regenerates data/catalog.json pnpm typecheck && pnpm lint

Routing: / and /docs/* are Next.js; /mcp and /v1/* are rewritten to the Python function (api/index.py). The frontage is localized — en at /, zh at /zh, hk at /hk — via per-locale root layouts with hreflang.

Quick Start (Python)

from valuation_engine import run_valuation

result = run_valuation('9988.HK', 'dcf') # DCF valuation (shared envelope)

Standards & citations

The standards alignment is data, not code: standards/taxonomy.json maps each method to its IVS and IFRS/IAS clauses, standards/source/*.md holds the verbatim clause text (with standards/provenance.json recording edition and source), and standards/coverage-baseline.json is the coverage ratchet. The engine attaches solution_type and citations to every envelope, and scripts/check_conformance.py fails CI if a published method loses its citation or the taxonomy/corpus drifts. See Standards reference.

Module structure

flowchart LR

SEED["method_spec_seed.py method tables · 135 methods"] --> SPEC["method_spec.py parameter vocabulary"] SPEC --> SURF["tool_surface.py 15 calculate_* tools"] SPEC --> STD["standards.py taxonomy · citations"] SURF --> SRV["server.py (FastMCP)"] SRV --> STDIO["stdio · uvx fair-value-mcp"] SRV --> HTTP["Streamable HTTP · fair-value-mcp --http"] ASGI["asgi.py (+ rest.py, openapi.py)"] --> HOST["Hosted · / + /v1"] SRV --> DOCS["docs.py -help transparency records"] STD -.->|resources| RES["valuation://methods · valuation://standards"] SRV -.-> DOCS

src/ ├── constants.py # standards references ├── valuation/ # DCF, NAV, CCA, asset standards (relief-from-royalty, MPEEM, residual) ├── cost_of_capital/ # WACC, FF5, KMV ├── credit_risk/ # ECL, PD/LGD, CVA/DVA ├── derivatives/ # options, swaps, convertible bonds, structured products, fixed income └── output/ # shared result envelope (value + statistics + citations) mcp_server/ ├── method_spec.py + method_spec_seed.py # single source of truth for tools/methods ├── standards.py # taxonomy loader, citations, coverage ├── tool_surface.py · engine.py · handlers.py · server.py ├── docs.py · rest.py · openapi.py · asgi.py └── catalog.py · prompts.py # valuation:// resources + guided prompts standards/ # taxonomy.json · source/*.md · provenance · baseline scripts/ # check_conformance.py · gen_docs.py

Request lifecycle

sequenceDiagram

autonumber participant C as MCP / REST / Python caller participant E as validation + dispatch participant R as method-spec registry participant S as standards taxonomy participant M as computation modules (src/) participant O as output envelope C->>E: calculate_*(...) / POST /v1/calculate/* E->>R: resolve method + validate parameters (no defaults) R-->>E: method spec E->>M: dispatch to valuation / cost_of_capital / credit_risk / derivatives E->>S: attach solution_type + citations M-->>E: value + steps + assumptions E->>O: ok() / error() envelope (value · statistics · citations) O-->>C: status · method · value · statistics · assumptions · citations · disclaimer

Development

CI and deployment run through the APG workbench pipeline.

Requirements

Python 3.10+
pandas, numpy, scipy, python-dateutil
fastmcp (MCP extra), openpyxl, pdfplumber, python-docx
QuantLib, pandas_datareader, pytesseract/easyocr (all optional, with native fallbacks)

Documentation

Docs site: mkdocs build (see mkdocs.yml); method reference auto-generated by scripts/gen_docs.py
MCP Server & REST · REST API · Hosting
Methods · Standards reference · Status & Roadmap
SKILL.md — capability spec; valuation://methods / valuation://standards — machine-readable catalogues

Standards compliance

IVS 2025 — International Valuation Standards (103, 105, 210, 220, 230, 300, 400, 410, 500)
IFRS 13 Fair Value Measurement; IFRS 9 Financial Instruments; IFRS 16 Leases; IFRS 17 Insurance Contracts
IAS 36 Impairment of Assets; IAS 19 Employee Benefits; IAS 37 Provisions, Contingent Liabilities and Contingent Assets

License

Released under the MIT License.

Fair Value MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

MCP Server Autocad Lisp Helper

README from the maker

Fair Value

Overview

Quick start (≤ 5 minutes)

Architecture

Installation

or, as a package:

MCP Server

or install and run

REST API

Web frontage (Next.js)

Quick Start (Python)

Standards & citations

Module structure

Request lifecycle

Development

Requirements

Documentation

Standards compliance

License