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io.github.prateekg7/context-bridge

NPM · @CONTEXTBRIDGE_AI/MCP · SCANNED AUG 3

Context portability MCP server for compressing, formatting, and resuming AI conversation handoffs.

+21 this week 67 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability66
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 240 tokens (~60/item across 4 items; 4 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
  • Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
  • Structured output schemas are declared (75% of tools); any adoption earns full credit.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · @contextbridge_ai/mcp

# add to Claude Code
claude mcp add prateekg7-context-bridge -- npx -y @contextbridge_ai/mcp
# add to Codex CLI
codex mcp add prateekg7-context-bridge -- npx -y @contextbridge_ai/mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "prateekg7-context-bridge": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@contextbridge_ai/mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add prateekg7-context-bridge --command npx --arg -y --arg @contextbridge_ai/mcp
# ~/.hermes/config.yaml
mcp_servers:
  prateekg7-context-bridge:
    command: "npx"
    args: ["-y", "@contextbridge_ai/mcp"]
// mcp.json
{
  "mcpServers": {
    "prateekg7-context-bridge": {
      "command": "npx",
      "args": [
        "-y",
        "@contextbridge_ai/mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +4
    • Stability: unverified → 0.23 functional
  • 2 Aug 26 +42
    • Provenance: unverified → fail security
    • Known CVEs: unverified → partial security
    • Install scripts: unverified → pass security
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • Dependency health: partial → unverified functional
    • Security disclosure: fail → unverified functional
    • Tool coverage: unverified → 100 functional
    • License: unverified → pass functional
    • Maintenance: unverified → pass functional
    • MCP protocol: unverified → pass functional
    • Schema quality: unverified → good functional
    • Licence: MIT functional
  • 1 Aug 26 0
    • Malware scan: unverified → pass security
    • Tool coverage: 100 → unverified functional
    • Dependency health: unverified → partial functional
    • First check of Schema quality: unverified functional
  • 31 Jul 26 −25
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 46

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/@contextbridge_ai/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 4 exposed · ~240 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
compress_context ~67

Compresses a raw conversation transcript into a structured ContextBridge handoff block.

NameTypeReqDescription
providerstringOptional provider override for the extraction lane: openai, openai-chat, google, groq, custom, or hosted.
transcriptstringyesThe raw conversation transcript to compress.
NameTypeReqDescription
constraints_and_preferencesarrayyesImportant user preferences, constraints, or non-negotiables.
conversation_assessmentobjectyes
conversation_typestringyesThe dominant type of work the conversation is doing.
current_statestringyesA concise description of where the work currently stands, weighted toward the final 25% of the conversation.
decisions_madearrayyesOnly decisions explicitly confirmed, chosen, or accepted by the user. Suggestions alone do not count.
goalstringyesThe user's primary goal as of the latest meaningful state in the transcript.
key_artifactsarrayyesImportant outputs, files, prompts, or assets mentioned in the transcript.
open_threadsarrayyesUnresolved work, risks, or follow-ups that still need attention.
recent_pivotobjectyes
suggested_next_stepstringyesThe best immediate next action for continuing the conversation.
user_expertise_levelstringyesEstimated expertise level implied by the user's language and requests.
versionstringyesSchema version for ContextBridge output.

No examples provided.

format_for_target ~67

Formats a compressed ContextBridge handoff block into a paste-ready opening prompt for a destination AI platform.

NameTypeReqDescription
context_blockobjectyesThe structured ContextBridge handoff block to format.
targetstringyesThe destination platform: claude, chatgpt, or gemini.
NameTypeReqDescription
api_splitobjectyes
format_versionstringyesSchema version for formatted prompt output.
formatted_promptstringyesA paste-ready opening message for the target platform.
prompt_structure_notesarrayyesWhy this format was chosen for the target platform.
targetstringyesThe destination AI platform.
usage_instructionsstringyesHow to use this formatted output on the target platform.

No examples provided.

resume_context ~71

Packages a stored ContextBridge handoff block into a destination-ready landing bundle for resuming the conversation on another AI platform.

NameTypeReqDescription
context_blockobjectyesThe structured ContextBridge handoff block to resume from.
targetstringyesThe destination platform: claude, chatgpt, or gemini.
NameTypeReqDescription
api_resume_payloadobjectyesThe split system/user payload to use when the destination supports separate instruction channels.
continuation_planstringyesThe intended first move after the receiving AI loads the handoff.
format_versionstringyesSchema version for resume context output.
handoff_kindstringyesIdentifies this as a destination-side resume package.
manual_resume_messagestringyesThe single paste-ready message to use when the destination only supports a single opening message.
operator_stepsarrayyesStep-by-step instructions for using this handoff package.
prompt_structure_notesarrayyesNotes explaining why this landing package is structured this way.
resume_readybooleanyesWhether the package is ready to use immediately.
targetstringyesThe destination AI platform.
usage_instructionsstringyesA concise explanation of how to use this resume package.

No examples provided.

say_hello ~35

Dummy tool used to confirm the ContextBridge MCP server is connected and working.

NameTypeReqDescription
namestringyesThe name to greet

No output schema declared.

No examples provided.