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Health: ActiveRecent health check succeeded.Last checked 10/4/2026, 7:46:30 AM

MCP Bifrost

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code-editingphppythonautomationrollback

Delegates bulk PHP and Python symbol edits to a worker model with syntax gates, atomic application, logging, and rollback.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for mcp-bifrost, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (7) Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

The mcp-bifrost MCP server delegates planned PHP and Python code rewrites to a lower-cost worker model while keeping the orchestrator's context focused on instructions. It parses target symbols, validates returned code, applies accepted changes atomically, and records patch history for rollback. Use it for high-volume, preplanned transformations rather than exploration, isolated bug fixes, or edits whose order depends on earlier results.

Use cases

•Rewrite many PHP methods from one instruction
•Apply repeated Python symbol changes
•Create and verify new source files
•Batch edits for review and rollback
•Run bulk transformations with a local worker

Key features

•Bulk symbol rewriting
•PHP and Python parsing
•Atomic patch application
•Syntax and structure validation
•Git-backed rollback
•OpenAI-compatible worker endpoints

Capabilities & Tool Schemas (7) ~130 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Bifrost.

fix_symbols

one instruction across many symbols — **the main one

fix_symbol

rewrite one symbol, or an explicit line range — optional `verify` command, reverted on failure

insert_symbol

add a function, method or class, or a branch to a switch router

create_file

write a new file, optionally by analogy with an existing one — optional `verify` command, deleted on failure

patch_group

several operations as one transaction

export_docs

changelog from the log; batch onto a reviewable branch

How MCP Bifrost works

What mcp-bifrost MCP server does

The mcp-bifrost MCP server handles mechanically repetitive edits after an orchestrating model has identified the files, symbols, and instructions. It supports PHP and Python, extracts target blocks with language parsers, sends one isolated block and one instruction to a worker, then applies the returned code only after validation.

The worker does not choose files, plan the change, or inspect the wider codebase. The server is the component that writes files, and it keeps patch history outside the orchestrator's context. Git object storage is used to preserve prior content for later reversal.

How it works

A typical flow is:

  1. An orchestrator identifies the symbols and divides the work.
  2. Bifrost extracts each target block from the source file.
  3. A worker model rewrites the isolated block.
  4. The server checks the result and rebuilds the file with an atomic splice.
  5. The applied patch is logged for review or rollback.

By default, validation checks that the source offsets match what was sent, the rebuilt PHP or Python file passes syntax validation, and the returned block defines exactly one symbol. An optional substance gate checks for disappearance of calls, variables, or control keywords. The server does not determine whether a change is semantically correct.

Setup and configuration

The project targets Python 3.11 or newer and accepts an OpenAI-compatible chat-completion endpoint as its worker. The README shows configuration with environment variables such as:

  • BIFROST_TARGET: path to the codebase being edited.
  • BIFROST_WORKER_BASE_URL: worker endpoint, for example a local OpenAI-compatible service.
  • BIFROST_WORKER_MODEL: model identifier used for rewriting.

The documented examples include Ollama, llama.cpp's server, LM Studio, and vLLM as possible endpoint types. No key is needed when using a non-default endpoint. A calibration script can measure a chosen worker's output format, identity preservation, line retention, fencing, and latency before bulk work.

Tools and capabilities

The mcp-bifrost MCP server exposes these MCP tools:

  • fix_symbols: applies one instruction across multiple symbols and is intended for bulk transformations.
  • fix_symbol: rewrites one symbol or an explicit line range, with an optional verification command; failed verification reverts the change.
  • insert_symbol: adds a function, method, class, or switch-router branch.
  • create_file: creates a file directly or by analogy with an existing file; optional verification removes it when verification fails.
  • patch_group: combines several operations into one transaction.
  • export_docs: creates a changelog from the patch log and batches changes onto a reviewable branch.
  • revert_patch: reverses one patch or an entire batch.

These operations provide atomicity and rollback, but they do not make dependent edits sequential. A grouped patch is therefore not a substitute for planning changes whose later shape depends on an earlier result.

Limitations and notes

Reach for mcp-bifrost MCP server when the work is already analyzed and repeated across many symbols. It is not designed to investigate an unknown failure, and the documented latency is about 2.6 seconds per block in measurements against DeepSeek. The token benefit is strongest for large batches; a single small edit may not justify the extra path.

Only PHP and Python are supported. Adding another language requires a parser adapter. Validation checks structure and syntax, not program meaning, so a syntactically valid but semantically incorrect patch can still pass. Cross-file work that depends on edit ordering also falls outside the guarantees described for patch_group.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
7
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about MCP Bifrost

mcp-bifrost is an MCP server that connects an orchestrating coding agent to an OpenAI-compatible worker model for planned PHP and Python edits. Its main tools rewrite or insert symbols, create files, group patches transactionally, export changelogs, and revert applied patches after validation.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
LicenseApache-2.0
ClientsClaude Code
Last updatedOct 8, 2026
6/6 checks healthy over the last 43d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 29, 2026
43Quality signal: Fair · 43/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools20/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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