AI Reserve

io.github.Audacity-InvestmentsPublished by GitHub account Audacity-Investmentsv1.0.1Updated Nov 5, 2026

Ask any AI Reserve model, see live pricing, team usage and budget, and manage API keys from Copilot.

VerifiedStreamable HTTPWeb executableFinanceSecurity & MonitoringAI & ML

Overview

AI-generated overview

Remote AI Reserve MCP server that lets an assistant in GitHub Copilot call AI Reserve models, check pricing, usage and budget, and manage API keys.

What you can do
  • Ask any AI Reserve model by name and get the reply plus the exact model that produced it
  • List available models with their live pricing
  • Check team usage and remaining budget
  • List and manage API Reserve API keys
  • Answers are scoped to what the signed-in person can already see in the portal
When to use it
For teams already using AI Reserve who want model calls, price checks, spend and budget questions, and key management inside GitHub Copilot Chat, the Copilot CLI or the desktop app, without leaving the editor.
Requirements
A remote endpoint at api.aireserve.com/mcp over streamable HTTP; no local package. OAuth sign-in with an AI Reserve portal account (dynamic client registration), so no key to paste for IDE use. For the github.com cloud agent and code review, a portal-minted MCP access token with the Messages scope stored as the COPILOT_MCP_AIRESERVE_TOKEN Agents secret. Copilot Business/Enterprise admins must enable the MCP servers in Copilot policy; VS Code 1.99+ or Copilot CLI 1.0.11+ for sign-in.
Before you install
Sending a message spends from the budget of whoever owns the key or token, and the cloud agent calls allowlisted tools without asking first. Account-changing actions are described as asking for confirmation, but treat key management as sensitive. The cloud agent token is a credential: mint it with the narrowest scope and store it only as the COPILOT_MCP_AIRESERVE_TOKEN secret. Prompts and replies go to AI Reserve's service.

Installation

In SourceWeft

  1. Open AI Reserve in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.Audacity-Investments%2Faireserve/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "ai-reserve": {
      "type": "http",
      "url": "https://api.aireserve.com/mcp"
    }
  }
}

README

AI Reserve for GitHub Copilot

Two things you can do with GitHub Copilot and AI Reserve, and most teams do both:

  1. Run Copilot on AI Reserve models. Our models in Copilot's own model picker, for Chat, agent mode and edits. Any AI Reserve key works and is what pays: whatever the key belongs to (a developer, a team, the organization) is debited, with its spend caps and model rules applied. Three ways in, differing only in who sets them up: the AI Reserve VS Code extension (each developer, one minute), organization-wide custom models (the GitHub admin, once; needs GitHub Enterprise; covers github.com chat too), or the manual Custom Endpoint / Copilot CLI variables. Step by step in ADMIN-INSTALL-GUIDE.md and on https://docs.aireserve.com/connect/github-copilot.
  2. The AI Reserve assistant in Copilot Chat (the rest of this package). Tools inside the Copilot developers already use: ask any of our models by name ("using fable 5.1 ping me"), see prices, check usage and budget, manage API keys. Sign in with the portal account, nothing to paste.

GitHub retired App-based Copilot Extensions (the @vendor apps) on 10 November 2025 in favor of the Model Context Protocol. The assistant is therefore not an app bundle to upload: it is the install surface for the AI Reserve MCP server, which Copilot reads directly. The server is live at https://api.aireserve.com/mcp and signs users in over OAuth (dynamic client registration), so there is no key to distribute for IDE use.

Where it works

Our models in the picker (1):

SurfaceHow it connectsWho sets it up
VS Code, VS Code Insidersthe AI Reserve extension (.vsix today, Marketplace listing pending), paste a key onceeach developer, one minute
Every client, including Copilot Chat on github.comthe GitHub admin adds AI Reserve once as an OpenAI-compatible custom model provider (needs GitHub Enterprise)the GitHub admin, once
VS Code without the extension, Copilot CLIVS Code Custom Endpoint file, or the CLI's COPILOT_PROVIDER_* variableseach developer

The assistant (2):

SurfaceHow it connectsWho sets it up
VS Code, VS Code Insidersone-click link or .vscode/mcp.json, OAuth sign-ineach developer (or commit .vscode/mcp.json to the repo)
JetBrains IDEs, Visual Studio, Eclipse, Xcodesame servers JSON in the Copilot MCP settings, OAuth sign-ineach developer
Copilot CLI and the GitHub Copilot desktop appcopilot mcp add …, OAuth sign-in; the app reads the CLI's serverseach developer
github.com: Copilot cloud agent and code reviewrepository MCP configuration with a token in a COPILOT_MCP_* secretrepository admin
github.com: Copilot Chatnot possible for any vendor (GitHub only wires its own MCP server there); use AI Reserve models in the picker instead, see the admin guideGitHub admin

Copilot Business and Enterprise: a GitHub admin must switch on the MCP servers in Copilot policy once (it is off by default). Everything else in the assistant table works on Copilot Pro and Free without admin involvement.

What is in the package

filerole
vscode/mcp.jsonWorkspace or user-profile configuration for VS Code; the same servers shape JetBrains, Visual Studio, Eclipse and Xcode read
copilot-cli/mcp-config.json~/.copilot/mcp-config.json for the Copilot CLI and desktop app; the same mcpServers shape works as a repository-root .mcp.json
cloud-agent/mcp.jsonRepository → Settings → Copilot → MCP servers, for the cloud agent and code review
registry/server.jsonThe server's entry in the MCP registry format, published to the official MCP Registry as io.github.Audacity-Investments/aireserve 1.0.0; paste it into a company MCP registry allowlist as well
ADMIN-INSTALL-GUIDE.mdThe rollout guide for the customer's GitHub administrator

No credential lives in this package. IDE users sign in; the cloud agent's token is minted in the portal by whoever configures that repository and stored as a GitHub Agents secret.

Install

VS Code

[Add to VS Code] [Add to VS Code Insiders]

Click Install when VS Code asks, then Allow when it asks to sign in to AI Reserve; a browser tab signs you in with your portal account. Or copy vscode/mcp.json to .vscode/mcp.json in the workspace (commit it and every clone gets the assistant) or to your user profile's mcp.json. VS Code 1.99 or newer; verify with MCP: List Servers.

JetBrains, Visual Studio, Eclipse, Xcode

Open Copilot Chat in Agent mode, click the tools icon (Configure your MCP server) → Add MCP Tools, paste the contents of vscode/mcp.json, and click Allow on the sign-in prompt. In Visual Studio, click Auth in the CodeLens above the server if the prompt does not appear.

Copilot CLI and the GitHub Copilot app

shell
copilot mcp add --transport http aireserve https://api.aireserve.com/mcp

The first use opens the sign-in in your browser (Copilot CLI 1.0.11 or newer). The GitHub Copilot desktop app picks the server up automatically; to add it from the app instead, open Customize → MCP → Add custom server, choose HTTP, paste https://api.aireserve.com/mcp, leave the headers empty and sign in when prompted. copilot-cli/mcp-config.json is the equivalent file form.

github.com: Copilot cloud agent and code review

The cloud agent runs without a browser, so it carries a token:

  1. In the AI Reserve portal, open API Keys → Management Keys and mint an MCP access token with the Messages scope (https://portal.aireserve.com/keys?type=mcp).
  2. In the repository, add it as an Agents secret named COPILOT_MCP_AIRESERVE_TOKEN (Settings → Environments → copilot). GitHub exposes only COPILOT_MCP_* names to MCP servers.
  3. Paste cloud-agent/mcp.json under Settings → Copilot → MCP servers and save. Tools are allowlisted explicitly because the agent calls them without asking first; send-message spends from the token owner's budget.

Try it

In Copilot Chat, switch to Agent mode and type:

text
using fable 5.1 ping me

Copilot resolves the model with list-models, sends the message with send-message, and answers with the reply and the exact model that produced it: Model: claude-fable-5-1. The same loop is one command, /mcp.aireserve.ask-model, and #send-message pins the tool. Other asks that work out of the box: "which models can I use and what do they cost", "what did my team spend this week", "how much budget do I have left", "list my API keys". Each answer is scoped to what the signed-in person can already see in the portal; anything that spends money or changes the account asks for confirmation. Full surface: MCP tool reference.

Models in the Copilot picker (the other half)

Separately from the assistant, two ways to put our models in Copilot's own model picker:

  • Each developer, one minute: install the AI Reserve VS Code extension (download the .vsix from https://portal.aireserve.com/connect/copilot until the Marketplace listing is live), open the picker → Manage Models → AI Reserve, paste any key from the portal's API Keys page, and say yes when it offers to make AI Reserve the default for new chats. New catalog models show up on their own; the list refreshes every five minutes.
  • The GitHub admin, once (GitHub Enterprise): add AI Reserve as an OpenAI-compatible custom model provider so our models appear in every developer's picker, including Copilot Chat on github.com, with nothing to install. The model list there is the admin's: when AI Reserve adds a model, add its id to that list.

Both are step by step in ADMIN-INSTALL-GUIDE.md and on https://docs.aireserve.com/connect/github-copilot.

Publishing to the registries

registry/server.json is the manifest both registries consume, named io.github.Audacity-Investments/aireserve so the repository's own GitHub Actions OIDC identity authorizes the publish (no secret, no PAT). The MCP Registry publish workflow (.github/workflows/mcp-registry-publish.yml) validates the manifest against the live registry on every run and, in publish mode, publishes it to the official MCP Registry (registry.modelcontextprotocol.io), which VS Code's MCP gallery and the GitHub Copilot app's catalog read from. Version 1.0.0 is published and active; bump version to publish again.

Listing on GitHub's MCP Registry page (github.com/mcp) is a manual curation step on GitHub's side after that publish; the workflow's job summary prints the onboarding request to post in the github/github-mcp-server discussions (or to send to [email protected]). Once onboarded, later versions sync automatically. Until then, a customer that restricts MCP to an approved registry adds this entry to their own. The same files are served publicly from the docs site (https://docs.aireserve.com/files/github-copilot/server.json, mcp.json, mcp-config.json, cloud-agent-mcp.json) for customers without access to this repository.

Source: README.md at commit 573abea

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

2
  1. v1.0.1LatestNov 5, 2026
  2. v1.0.0Oct 19, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts