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PureContext MCP

PureContext MCP

npm version Stable License: MIT

Most tools help an AI agent read your codebase. PureContext helps it change your codebase safely.

Agents are already good at finding code. What they can't see is the part that breaks things: what a symbol connects to, what quietly changes alongside it, and whether it's risky to touch at all. PureContext MCP indexes your codebase into a structured, queryable model and gives agents that missing layer — impact, coupling, and change-risk intelligence, before the edit.

Before changing processRefund(), the agent checks:

  get_symbol_risk   → band: HIGH — 47 dependents · churn 8/90d
                      · no direct test · co-changes with ledger.ts (conf 0.71)
  get_blast_radius  → 23 files affected across 4 modules
  get_co_change     → usually moves together with refund.test.ts and ledger.ts

→ so it updates those together, instead of shipping a half-change that
  passes locally and breaks billing in production.

This is the layer autonomous agents are missing. Refactoring and change-safety tooling is still mostly built for humans clicking through an IDE — not for an agent about to edit code it has never seen. PureContext closes that gap: blast radius, temporal co-change, rename/delete/move safety checks, and a composite per-symbol risk score — all queryable as MCP tools.

It's built on token-efficient retrieval as the foundation: agents pull a single function, class, or route by name or meaning instead of reading whole files — typically 90%+ fewer context tokens (see it in action). Precise context means less hallucination, more accurate edits, and the ability to work on codebases far larger than any context window.


Quick start

# Inside your project: registers the MCP server (pinned to your global Node) AND
# adds the workflow rules — auto-detects Claude / Cursor / Windsurf / Continue /
# Cline / Roo Code / Copilot / Claude Desktop
npx purecontext-mcp@latest install all

# Prefer to wire up Claude Code by hand? Register the server manually:
claude mcp add purecontext-mcp -- npx purecontext-mcp@latest

Then in a Claude Code conversation:

Index my project at /path/to/my-project

That's it. Claude will index your codebase and you can start navigating it by name, by meaning, or by dependency — without reading files.


Related MCP server: Code Context Engine

What this looks like in practice

First, find and understand it

A typical "find and understand" conversation, before vs. after:

Without PureContext

You:    Where do we handle Stripe webhook signature verification?
Claude: I'll search the codebase.
        [reads src/api/webhooks/stripe.ts — 412 lines, ~3,100 tokens]
        [reads src/lib/stripe-client.ts    — 287 lines, ~2,150 tokens]
        [reads src/middleware/webhook.ts   — 198 lines, ~1,490 tokens]
        Verification happens in verifyStripeSignature() at line 87 of stripe.ts.
        Total context used: ~6,740 tokens

With PureContext

You:    Where do we handle Stripe webhook signature verification?
Claude: search_symbols(query: "stripe webhook signature")
        → 3 matches, 78 tokens
        get_symbol_source(symbolId: "verifyStripeSignature")
        → 32 lines, 180 tokens
        verifyStripeSignature() at src/api/webhooks/stripe.ts:87.
        It uses the timing-safe HMAC check from Stripe's SDK with a 5-minute tolerance.
        Total context used: ~258 tokens — 96% less

The agent stays in the conversation instead of running out of context after one file read — which frees it to get to the part that actually matters: changing the code safely.

Then change it without breaking things

A typical "modify this" conversation, before vs. after:

Without PureContext

You:    Add a partial-refund path to processRefund().
Claude: [reads processRefund, edits it]
        Done — added the partial-refund branch.

        (Never saw that ledger.ts reconciles every refund, or that
         refund.test.ts asserts the old totals. CI breaks; billing
         drifts in production.)

With PureContext

You:    Add a partial-refund path to processRefund().
Claude: get_symbol_risk(symbolId: "processRefund")
        → band: HIGH — 47 dependents · churn 8/90d · no direct test
          · co-changes with ledger.ts (conf 0.71)
        get_blast_radius(symbolId: "processRefund")
        → 23 files affected across 4 modules
        get_co_change(symbolId: "processRefund")
        → usually moves together with ledger.ts and refund.test.ts

        This symbol is high-risk and untested. I'll update processRefund(),
        adjust the reconciliation in ledger.ts, and extend refund.test.ts
        in the same change.

The difference here isn't tokens — it's that the agent saw the second-order edits before writing code, instead of discovering them in a failed CI run or a production incident.


Change & refactoring intelligence

This is the part most code tools leave to humans. PureContext exposes it as MCP tools an agent can call before it edits — so autonomous changes come with the same impact awareness a careful senior engineer would bring.

Question the agent can answer

Tool

What breaks if I change this symbol?

get_blast_radius

What files historically change together with this one (but don't import it)?

get_co_change

How risky is this symbol to change, and why?

get_symbol_risk

Is it safe to rename / delete / move this?

check_rename_safe · check_delete_safe · check_move_safe

What's the impact before I edit, and what will I forget to touch?

prepare_change

Did my applied change actually cover everything I planned?

verify_change

Did my change introduce a new cycle or layer violation?

compare_change_impact

What's the sequenced, risk-annotated plan for a larger refactor?

plan_refactoring

Who calls this, and who do they call?

get_call_hierarchy · find_references

What's churning or accumulating debt?

get_churn_metrics · get_debt_report · health_radar

get_symbol_risk is the composite verdict: it fuses change frequency (churn), centrality (how much depends on it), complexity, test-coverage gaps, and temporal co-change into one banded score (low / review / high) with human-readable reasons — never a black-box number, and deliberately code-centered (no author or productivity metrics). get_co_change surfaces the coupling the import graph can't see — the test, the migration, or the feature flag that always moves with a file. Together they let an agent edit unfamiliar code the way a cautious human does: check the blast radius, update what moves with it, and flag what it shouldn't touch alone.

PureContext also closes the loop around an edit — judgment, not actuation (it never writes files; your agent does): prepare_change gives a pre-edit impact verdict for a stated intent (and flags the co-change partners you're about to forget), verify_change reconciles the real diff against that plan (complete / incomplete / scope_expanded), and compare_change_impact reports the new cycles or layer violations a change introduced — never blaming it for pre-existing ones.

→ Full tool list and parameters: AGENT_REFERENCE.md · safe-change workflow: SAFE-CHANGES.md


Measured search precision

PureContext is benchmarked on 87 real-world open-source projects with 25 curated ground-truth queries each. Top-rank precision (P@1) reaches 84% on NestJS, 84% on Terraform, 72% on Protobuf and GraphQL, 60% on Nix, 52% on LÖVE (Lua/C++), and 40% on Tokio (Rust). Full per-language tables, methodology, and reproduction steps are in BENCHMARKS.md.


Documentation

User Guide — start here

The guide explains what PureContext does, why each feature exists, and how to use it effectively in real-world situations. It covers both solo developers and team deployments.

Why PureContext

The full case — beyond token savings

Navigating a New Codebase

Day one on an unfamiliar project

Finding Code

Three search modes with examples

Making Changes Safely

Blast radius and dependency analysis

Understanding Code Relationships

Call hierarchies, cycles, coupling, implementations

Refactoring Safely

Pre-flight checks before rename, delete, or move

Understanding Code History

Symbol-level git history and churn

The Web UI

Visual graph, heatmap, symbol timeline

AI Summaries

Better search on undocumented codebases

Code Health & Architecture Analysis

Quality metrics, anti-patterns, arch docs

Health Dashboards & Debt Reporting

Health radar, debt scores, PR health diffs

Visualizing Code Structure

Mermaid/DOT diagrams, architecture snapshots

AST-Level Search

Node types, signatures, decorators, complexity

Code Intelligence

Entry points, public API, TODOs, coverage

Language Support

All 34 supported languages and what's extracted

Framework Adapters

Vue, React, Django, Spring, Rails, Flutter, ORMs, and more

Using PureContext with a Team

Shared server, enterprise setup

Real-world workflows:

Onboarding to a New Codebase

First day on a 6,000-file microservices platform

Refactoring Legacy Code

Replacing auth in a 6-year-old Django monolith

Reviewing a Pull Request

40-file PR, 45 minutes, two real bugs found

Running a Tech Debt Sprint

Two-week debt reduction: assess, plan, execute, measure

Full guide index

Reference Manual

Parameter-level documentation for every tool, configuration option, language, framework adapter, and deployment option lives in docs/README.md. The reference manual is cross-linked with the user guide above — every topic has both a narrative and a reference page where one helps.


What it indexes

Languages

34 languages via bundled tree-sitter WASM grammars — no separate install required.

Category

Languages

Web / Application

TypeScript, JavaScript, Python, PHP, Ruby, Go, Java, Kotlin, C#, Scala, Dart, Swift, Elixir, Haskell, Lua, R, Perl, Groovy, Erlang, Gleam

Systems

C, C++, Rust, Fortran, Objective-C

Scripting & Game

Bash, GDScript

Infrastructure & Config

Terraform / HCL, Nix

Data & API

SQL, Protobuf, GraphQL, OpenAPI / YAML, XML

Styling (regex-based)

SCSS, SASS, LESS, CSS

Language Support guide · Full reference

Frameworks

Framework-aware extraction — routes, components, hooks, models, ORM entities, and middleware are pulled out as first-class symbols (not just functions and classes).

Stack

Frameworks

JavaScript / TypeScript

Vue 3, React, Nuxt, Next.js (Pages + App Router), Angular, NestJS, Express, Fastify

Python

Django, FastAPI, Flask

Go

Gin, Echo, Fiber

PHP

Laravel, Symfony

Ruby

Rails, Sinatra

Java

Spring Boot, Micronaut, Quarkus

Kotlin

Ktor, Spring (Kotlin)

Rust

Axum, Actix-web, Rocket

Mobile

Flutter

ORMs

Hibernate, SQLAlchemy, Django ORM, Prisma, TypeORM

Framework Adapters guide · Full reference


Installation

Requirements: Node.js 18, 20, or 22. Prebuilt binaries included for Windows, macOS, and Linux — no native compilation needed.

Claude Code

claude mcp add purecontext-mcp -- npx purecontext-mcp@latest

Claude Desktop

Edit ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "purecontext": {
      "command": "npx",
      "args": ["purecontext-mcp@latest"]
    }
  }
}

Cursor

Create .cursor/mcp.json in your project (or ~/.cursor/mcp.json for global):

{
  "mcpServers": {
    "purecontext": {
      "command": "npx",
      "args": ["purecontext-mcp@latest"]
    }
  }
}

Windsurf

Open Windsurf Settings → MCP section, or edit the MCP config file directly:

{
  "mcpServers": {
    "purecontext": {
      "command": "npx",
      "args": ["purecontext-mcp@latest"]
    }
  }
}

VS Code

Create .vscode/mcp.json in your project:

{
  "servers": {
    "purecontext": {
      "type": "stdio",
      "command": "npx",
      "args": ["purecontext-mcp@latest"]
    }
  }
}

Shared team server (HTTP)

If your team runs a shared PureContext server, connect with an HTTP transport instead:

{
  "mcpServers": {
    "purecontext": {
      "transport": "http",
      "url": "https://purecontext.yourcompany.com/mcp/sse",
      "headers": {
        "Authorization": "Bearer pctx_yourpersonalkey"
      }
    }
  }
}

Full installation guide


Teaching your AI agent to use PureContext well

Installing PureContext gives your agent the tools. Adding the agent instructions tells it how to use them — which tool to pick for each task, in what order, and what to avoid.

Without these instructions, an agent may default to reading entire files rather than using search_symbols, or may not know to call list_repos first to get the repository ID required by every tool.

Run this once inside your project directory:

npx purecontext-mcp@latest install all

This auto-detects which AI coding tools you have set up in the project and writes the PureContext workflow rules to the right place for each. Re-running is safe — every writer is idempotent (managed blocks are marked and replaced rather than appended).

When no --scope flag is given, the CLI prompts you to choose where to install:

Where should PureContext be installed?
  1) Local  — this project only
  2) Global — all projects (user-level config)
  3) Both

Pass --scope to skip the prompt:

npx purecontext-mcp@latest install all --scope=local    # this project only
npx purecontext-mcp@latest install all --scope=global   # user-level, all projects
npx purecontext-mcp@latest install all --scope=both     # both places at once

For a single tool:

npx purecontext-mcp@latest install <tool> --scope=global

To preview without writing files:

npx purecontext-mcp@latest install all --dry-run
npx purecontext-mcp@latest install --list      # show which IDEs were detected

Supported tools and where each one writes its workflow rules (it also registers the purecontext-mcp MCP server with each — pinned to your global Node — in that tool's own MCP config):

Tool

Local

Global

claude

CLAUDE.md in project

~/.claude/CLAUDE.md + hooks

cursor

.cursor/rules/purecontext.mdc

~/.cursor/rules/purecontext.mdc

windsurf

.windsurf/rules/purecontext.md

~/.windsurf/rules/purecontext.md

continue

.continue/config.json

~/.continue/config.json

cline

.clinerules

local only

roo-code

.roo/rules-code.md

local only

copilot

.github/copilot-instructions.md

local only

claude-desktop

always global

always global

Manual install

If you'd rather paste the rules yourself, two instruction files are at the repository root:

  • AGENT_INSTRUCTIONS.md — the onboarding doc: mandatory workflow, tool-selection table, navigation patterns, and anti-patterns. Paste into your agent's rules file, or run npx purecontext-mcp install <tool> to write a compact, always-on version automatically.

  • AGENT_REFERENCE.md — the single canonical reference: a full intent→tool picker, every parameter, every navigation pattern, and known limitations. Installed automatically by hooks --install; read this when an agent needs the authoritative answer.

Paste the contents into whatever system prompt, memory, or rules configuration your agent uses.


License

MIT — see LICENSE.

Contributing

Issues and pull requests are welcome at github.com/goranocokoljic/pure-context. Before opening a feature PR, please open an issue to discuss the design — the three-layer architecture (Core → Handlers → Adapters) has hard rules about dependency direction that are easy to violate accidentally. See CLAUDE.md at the project root for the architectural conventions.

For language or framework adapters: pick a real-world repository, add a 25-query ground-truth file in benchmarks/<project>/queries.json, and include benchmark numbers (P@1 / P@3 / R@5) in the PR description so reviewers can confirm the change is a net improvement.

Support

A
license - permissive license
-
quality - not tested
B
maintenance

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