fix(docs): correct MCP tool count in README (24/25 → 26/27)

BASE_TOOLS in mcp.js contains 26 tools, plus list_repos for
multi-repo mode (27 total). The README incorrectly stated 24/25
in five locations.

Author: carlos-alm

README.md

@@ -55,7 +55,7 @@ cd your-project
 codegraph build
 ```
 
-That's it. No config files, no Docker, no JVM, no API keys, no accounts. The graph is ready to query. Add `codegraph mcp` to your AI agent's config and it has full access to your dependency graph through 24 MCP tools (25 in multi-repo mode).
+That's it. No config files, no Docker, no JVM, no API keys, no accounts. The graph is ready to query. Add `codegraph mcp` to your AI agent's config and it has full access to your dependency graph through 26 MCP tools (27 in multi-repo mode).
 
 ### Why it matters
 
@@ -97,7 +97,7 @@ That's it. No config files, no Docker, no JVM, no API keys, no accounts. The gra
 | **🔓** | **Zero-cost core, LLM-enhanced when you want** | Full graph analysis with no API keys, no accounts, no cost. Optionally bring your own LLM provider — your code only goes where you choose |
 | **🔬** | **Function-level, not just files** | Traces `handleAuth()` → `validateToken()` → `decryptJWT()` and shows 14 callers across 9 files break if `decryptJWT` changes |
 | **🏷️** | **Role classification** | Every symbol auto-tagged as `entry`/`core`/`utility`/`adapter`/`dead`/`leaf` — agents instantly know what they're looking at |
-| **🤖** | **Built for AI agents** | 24-tool [MCP server](https://modelcontextprotocol.io/) — AI assistants query your graph directly. Single-repo by default |
+| **🤖** | **Built for AI agents** | 26-tool [MCP server](https://modelcontextprotocol.io/) — AI assistants query your graph directly. Single-repo by default |
 | **🌐** | **Multi-language, one CLI** | JS/TS + Python + Go + Rust + Java + C# + PHP + Ruby + HCL in a single graph |
 | **💥** | **Git diff impact** | `codegraph diff-impact` shows changed functions, their callers, and full blast radius — enriched with historically coupled files from git co-change analysis. Ships with a GitHub Actions workflow |
 | **🧠** | **Semantic search** | Local embeddings by default, LLM-powered when opted in — multi-query with RRF ranking via `"auth; token; JWT"` |
@@ -144,7 +144,7 @@ After modifying code:
 Or connect directly via MCP:
 
 ```bash
-codegraph mcp          # 24-tool MCP server — AI queries the graph directly
+codegraph mcp          # 26-tool MCP server — AI queries the graph directly
 ```
 
 Full agent setup: [AI Agent Guide](docs/guides/ai-agent-guide.md) · [CLAUDE.md template](docs/guides/ai-agent-guide.md#claudemd-template)
@@ -170,7 +170,7 @@ Full agent setup: [AI Agent Guide](docs/guides/ai-agent-guide.md) · [CLAU
 | 📤 | **Export** | DOT (Graphviz), Mermaid, and JSON graph export |
 | 🧠 | **Semantic search** | Embeddings-powered natural language search with multi-query RRF ranking |
 | 👀 | **Watch mode** | Incrementally update the graph as files change |
-| 🤖 | **MCP server** | 24-tool MCP server for AI assistants; single-repo by default, opt-in multi-repo |
+| 🤖 | **MCP server** | 26-tool MCP server for AI assistants; single-repo by default, opt-in multi-repo |
 | ⚡ | **Always fresh** | Three-tier incremental detection — sub-second rebuilds even on large codebases |
 | 🧮 | **Complexity metrics** | Cognitive, cyclomatic, nesting depth, Halstead, and Maintainability Index per function |
 | 🏘️ | **Community detection** | Louvain clustering to discover natural module boundaries and architectural drift |
@@ -452,7 +452,7 @@ Optional: `@huggingface/transformers` (semantic search), `@modelcontextprotocol/
 
 ### MCP Server
 
-Codegraph includes a built-in [Model Context Protocol](https://modelcontextprotocol.io/) server with 24 tools (25 in multi-repo mode), so AI assistants can query your dependency graph directly:
+Codegraph includes a built-in [Model Context Protocol](https://modelcontextprotocol.io/) server with 26 tools (27 in multi-repo mode), so AI assistants can query your dependency graph directly:
 
 ```bash
 codegraph mcp                  # Single-repo mode (default) — only local project