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edge-history-mcp

by adrianba

edge-history-mcp

A stdio Model Context Protocol (MCP) server that exposes Microsoft Edge browsing history across multiple profiles.

It lets an MCP client:

  • List Edge profiles by their friendly names.

  • Fetch history for a given day for a given profile, returning one entry per page visit with timestamp, URL, title, and other metadata.

  • Summarize a day's browsing hour by hour as domains only, without exposing full URLs.

The server only reads Edge data and never modifies it. Because Edge keeps the live History database locked while running, the server copies it (together with any rollback-journal/WAL sidecar files) to a private temporary directory and reads the copy — so it works even while Edge is open, and SQLite can recover a consistent snapshot if the copy was taken mid-write.

Quick start (GitHub Copilot CLI)

You don't need to clone this repo. With uv installed, register the server in your user config with a single command — uvx builds and runs it on demand straight from GitHub:

copilot mcp add edge-history -- uvx --from git+https://github.com/adrianba/edge-browser-mcp edge-history-mcp

Then, from any directory:

copilot mcp list      # edge-history should appear under User servers
copilot              # start a session and ask it to use the edge-history tools

The source/repo is edge-browser-mcp and the command/package is edge-history-mcp — both appear in the command above (--from …edge-browser-mcp is the source, the trailing edge-history-mcp is the command to run).

To pin to a released version (recommended for stability), append a tag:

copilot mcp add edge-history -- uvx --from git+https://github.com/adrianba/edge-browser-mcp@v0.2.1 edge-history-mcp

Related MCP server: Chrome Debug MCP Server

Requirements

  • Windows with Microsoft Edge installed.

  • uv (Python is managed by uv; no manual venv needed).

Tools

list_profiles()

Lists available Edge browsing profiles. Returns a list of objects:

Field

Description

name

Friendly profile name (from Edge Local State).

directory

On-disk profile directory id (e.g. Default, Profile 3).

is_default

true for the default profile.

Use name (or directory) as the profile argument to get_history.

get_history(profile, date, start_time=None, end_time=None, limit=10000, offset=0)

Returns a page of per-visit history entries for a profile on a single day. A busy day can hold thousands of visits, so the result is paginated and can be narrowed to an intra-day time window.

  • profile — friendly name from list_profiles, or a directory id.

  • dateYYYY-MM-DD. Day boundaries are interpreted in the local machine timezone (DST-aware). The server determines the local timezone from the OS (via tzlocal) rather than relying on Python's process-local timezone, which can be incorrect in some Windows/Scout environments. Override with the EDGE_HISTORY_TIMEZONE environment variable (IANA name, e.g. America/Los_Angeles).

  • start_time — optional lower bound within the day, HH:MM (24-hour, local). Defaults to the start of the day.

  • end_time — optional upper bound within the day, HH:MM (local, exclusive). Defaults to the end of the day. Must be later than start_time.

  • limit — optional maximum number of entries to return per page (default 10000, capped at 50000; non-positive values fall back to the default).

  • offset — optional number of entries to skip from the start of the window, for paging through large results (default 0).

The result is an object:

Field

Description

entries

List of visit entries (see below), ordered ascending by time.

offset

The offset that was applied.

limit

The page size that was applied.

has_more

true if more entries follow this page.

next_offset

Offset to request the next page, or null when has_more is false.

Each entry in entries contains:

Field

Description

visit_time

Visit time as a local ISO-8601 timestamp.

url

Visited URL.

title

Page title (may be empty).

visit_count

Total number of visits to this URL.

typed_count

Number of times the URL was typed.

transition

Page-transition type (link, typed, reload, …).

url_id

Internal urls.id.

visit_id

Internal visits.id.

Fetching part of a day. Pass start_time/end_time to pull a narrow window instead of the whole day, e.g. get_history("Work", "2024-03-15", start_time="09:00", end_time="10:00").

Paging through a large day. Start with offset=0; if the result has has_more=true, call again with offset=next_offset until has_more is false.

Privacy note. get_history returns URLs verbatim, and URLs can embed auth tokens, session ids, password-reset links or pre-signed URLs. For questions like "what did I browse today?", prefer get_history_summary below and only reach for get_history when specific URLs or titles are needed.

get_history_summary(profile, date, start_time=None, end_time=None, group_by="hour", limit=10000, offset=0, include_titles=True, max_titles_per_site=3)

Returns an aggregated, privacy-preserving view of the same window as get_history: visits grouped into local-time hour buckets with domains only, plus a small sample of page titles per domain for context.

It intentionally returns no full URLs, query strings or fragments — only normalized domains (e.g. www.github.com -> github.com) and bounded page-title samples. Only http/https visits are aggregated; file:, edge:, chrome:, extension and other non-web URLs are excluded (and counted so clients can explain the omission). Full per-visit URLs are available only through get_history, and may contain sensitive data.

  • profile, date, start_time, end_time, limit, offset — identical semantics to get_history (same profile resolution, DST-aware local day/window boundaries, limit cap and pagination; limit/offset page over the underlying visit rows).

  • group_by — bucket granularity. Currently only "hour" is supported.

  • include_titles — include sample_titles for each domain (default true). Set to false for domains and counts only.

  • max_titles_per_site — maximum sample titles per domain per bucket (default 3, capped at 10). Values <= 0 return empty title lists.

The result is an object:

Field

Description

profile

Resolved profile friendly name.

date

The requested date.

group_by

The bucket granularity applied (hour).

timezone

IANA timezone used for bucketing.

entries_considered

Visit rows examined in this page.

web_entries

Rows counted in the buckets.

non_web_entries_skipped

Rows skipped because they were not http/https.

buckets

Hour buckets, ordered ascending (see below).

offset / limit

The paging window that was applied.

has_more

true if more visit rows follow this page.

next_offset

Offset for the next page, or null when has_more is false.

Each bucket contains:

Field

Description

hour

Local ISO-8601 timestamp of the start of the hour.

label

Friendly hour label, e.g. 8 AM.

total_web_visits

Number of web visits in the bucket.

sites

{ "domain", "visits", "sample_titles" } entries, sorted by visits descending then domain ascending.

sample_titles holds up to max_titles_per_site page titles seen for that domain in that bucket: deduplicated, in first-seen order, whitespace-trimmed, empty titles skipped, and truncated to 160 characters. Titles are page text only — never URLs.

Example:

{
  "profile": "Profile 2",
  "date": "2026-08-05",
  "group_by": "hour",
  "timezone": "America/Los_Angeles",
  "entries_considered": 206,
  "web_entries": 206,
  "non_web_entries_skipped": 0,
  "buckets": [
    {
      "hour": "2026-08-05T08:00:00-07:00",
      "label": "8 AM",
      "total_web_visits": 48,
      "sites": [
        {
          "domain": "map.pscleanair.org",
          "visits": 47,
          "sample_titles": ["Puget Sound Clean Air Agency Map"]
        },
        {
          "domain": "inciweb.nwcg.gov",
          "visits": 1,
          "sample_titles": ["InciWeb - Incident Information System"]
        }
      ]
    }
  ],
  "offset": 0,
  "limit": 10000,
  "has_more": false,
  "next_offset": null
}

MCP client configuration

For MCP clients that read a JSON config (mcpServers), the recommended entry runs the published server from GitHub with uvx — no clone required:

{
  "mcpServers": {
    "edge-history": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/adrianba/edge-browser-mcp",
        "edge-history-mcp"
      ]
    }
  }
}

If you have the repo checked out and prefer running from source, use uv with a cwd pointing at the repo instead:

{
  "mcpServers": {
    "edge-history": {
      "command": "uv",
      "args": ["run", "edge-history-mcp"],
      "cwd": "C:\\path\\to\\edge-browser-mcp"
    }
  }
}

GitHub Copilot CLI

The recommended setup is the one-line user-config install shown in Quick start:

copilot mcp add edge-history -- uvx --from git+https://github.com/adrianba/edge-browser-mcp edge-history-mcp

This works from any directory and uses "type": "local" (a stdio server Copilot launches as a subprocess). Verify with copilot mcp list (it appears under User servers) and inspect it with copilot mcp get edge-history.

Copilot CLI loads MCP definitions from several locations:

Source

Location

Workspace

.mcp.json or .github/mcp.json (this repo)

User

~/.copilot/mcp-config.json (the add command)

Plugin

installed plugins that bundle MCP servers

Workspace .mcp.json (local development only)

This repo ships a workspace .mcp.json that runs the server from source (uv run edge-history-mcp). It auto-loads only when you start copilot from the repo directory, so it's meant for developing/testing this project — not for everyday use. End users should prefer the uvx-from-git command above.

{
  "mcpServers": {
    "edge-history": {
      "type": "local",
      "command": "uv",
      "args": ["run", "edge-history-mcp"],
      "tools": ["*"]
    }
  }
}

Testing this project in a Copilot CLI session (from source)

  1. Pre-flight in a normal shell:

    cd C:\Repos\edge-browser-mcp
    uv sync                  # install dependencies
    uv run edge-history-mcp  # optional: confirm it starts on stdio (Ctrl+C to exit)
    copilot mcp list         # expect: Workspace servers: edge-history (local)
  2. Launch Copilot CLI from the repo directory so .mcp.json is loaded, and trust the folder when prompted:

    copilot
  3. Inside the session, confirm the server and tools are available:

    /mcp        # MCP UI — edge-history should be listed/enabled
    /env        # shows loaded MCP servers and tools
  4. Exercise the tools with natural-language prompts (approve the first tool use):

    List my Edge browser profiles using the edge-history MCP server.
    Using edge-history, get my browsing history for profile "Profile 1" on 2026-06-20.
    Get the first 5 history entries for the "Google Drive" profile on 2026-06-20.
  5. Check error handling:

    Using edge-history, get history for a profile called "DoesNotExist" on 2026-06-20.
    Get history for "Profile 1" on 06/20/2026.   (wrong format -> clean error)

To isolate the test from your real Copilot config, point Copilot at a throwaway home first: $env:COPILOT_HOME = "C:\Temp\copilot-test". The workspace .mcp.json still loads by working directory.

Privacy & security

Browsing history is sensitive personal data. Be aware:

  • The server exposes the full history of every profile to whichever MCP client launches it. Only enable it with clients you trust.

  • get_history returns URLs verbatim; they may embed secrets (auth/session tokens, password-reset links, pre-signed URLs). Treat tool output as sensitive and only request full URLs when they are actually needed.

  • get_history_summary is the lower-risk default: it deliberately returns domains only, dropping paths, query strings and fragments, and skips non-web (file:, edge:, chrome:, extension) URLs entirely. It adds a small sample of page titles per domain for context; titles can still be descriptive, so use include_titles=False if even that is too much. Full per-visit URLs are only ever returned by get_history.

  • A plaintext copy of the History database is written to a temporary directory for the duration of each query and then deleted.

  • Reads are strictly read-only; Edge's own data is never modified.

Notes

  • By default the server reads Edge data from %LOCALAPPDATA%\Microsoft\Edge\User Data. Override with the EDGE_USER_DATA_DIR environment variable (useful for testing).

  • Guest Profile and System Profile are excluded from list_profiles.

  • Chromium stores timestamps as microseconds since 1601-01-01 UTC; the server converts these to local time using the OS timezone (determined via tzlocal, not Python's process-local timezone). Override with EDGE_HISTORY_TIMEZONE.

  • The MCP SDK dependency is pinned to mcp[cli]>=1.2.0,<2.0.0 because the server uses the MCP 1.x FastMCP API (mcp.server.fastmcp). MCP 2.x removed this module; do not upgrade until the server is migrated to the 2.x API.

Development

Clone the repo and use uv:

uv sync                  # create .venv and install deps (incl. dev)
uv run edge-history-mcp  # run the server on stdio (Ctrl+C to exit)
uv run pytest            # run the test suite
uv build                 # build sdist + wheel into dist/

uv run edge-history-mcp starts the server on stdio; it is normally launched by an MCP client rather than run directly.

Tests build a synthetic Edge-shaped SQLite database in a temp directory, so they do not touch your real Edge installation. CI runs them on every push/PR (see .github/workflows/ci.yml).

Available Tools

3 tools
get_historyA

Get Edge browsing history for a profile on a specific day.

A whole day can hold thousands of visits, so the result is paginated and the
day can be narrowed to a time window.

Args:
    profile: Profile friendly name (from ``list_profiles``) or directory id.
    date: Day to fetch, formatted ``YYYY-MM-DD``. Day boundaries are
        interpreted in the local machine timezone.
    start_time: Optional lower bound within the day, ``HH:MM`` (24-hour,
        local time). Defaults to the start of the day (``00:00``).
    end_time: Optional upper bound within the day, ``HH:MM`` (exclusive,
        local time). Defaults to the end of the day. Must be later than
        ``start_time``.
    limit: Maximum number of entries to return per page (default 10000,
        capped at 50000). Non-positive values fall back to the default.
    offset: Number of entries to skip from the start of the window, for
        paging through large results (default 0).

Returns:
    A dict with:

    * ``entries``: list of page visits in the window, ordered by visit time
      ascending. Each entry has the local ISO ``visit_time``, ``url``,
      ``title``, ``visit_count``, ``typed_count``, ``transition`` type, and
      the ``url_id``/``visit_id`` identifiers.
    * ``offset``/``limit``: the paging window that was applied.
    * ``has_more``: whether more entries follow this page.
    * ``next_offset``: the ``offset`` to pass to fetch the next page, or
      ``null`` when ``has_more`` is false.
ParametersJSON Schema
NameRequiredDescriptionDefault
dateYes
limitNo
offsetNo
profileYes
end_timeNo
start_timeNo

TDQS

A4.8/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description fully discloses behavioral traits: pagination with limit/offset, ordering by visit time ascending, timezone interpretation, exclusive end_time, limit cap, and fallback behavior for non-positive values. It also details the return structure including has_more and next_offset. This goes well beyond a simple read-only indication.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and appropriately sized. It opens with a concise summary sentence, then explains pagination and time window narrowing, followed by parameter definitions and return values. Every sentence adds necessary information without redundancy. The formatting with sections (Args, Returns) improves readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is complex with 6 parameters and pagination, and there is no output schema. The description covers all aspects: parameter semantics, return fields, ordering, paging behavior, and the relationship to list_profiles. It leaves no significant gaps for an agent to select and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description compensates by explaining every parameter in detail: profile (source from list_profiles), date (format and timezone), start_time/end_time (optional, exclusive bound, default and constraint), limit (default, cap, fallback), and offset (paging). This gives the agent complete understanding beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Get', the resource 'Edge browsing history', and the scope 'for a profile on a specific day'. This distinguishes it from sibling tools like list_profiles (which lists profiles) and get_history_summary (which likely provides summaries). The first sentence is specific and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context: it is for fetching detailed history for a day, can be narrowed to a time window, and is paginated. It references list_profiles as a source for profile names, implying a prerequisite. However, it does not explicitly state when to use this tool versus get_history_summary or mention any exclusions, so it lacks explicit alternative guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_history_summaryA

Summarize Edge browsing history for a profile on a day, by domain only.

Prefer this tool over ``get_history`` for questions like "what did I browse
today, hour by hour?": it returns far less data and never exposes full URLs,
which can embed auth tokens, session ids or other secrets. It does include a
small sample of page titles per domain for context. Only use ``get_history``
when specific URLs are genuinely required.

Only ``http``/``https`` visits are aggregated; ``file:``, ``edge:``,
``chrome:``, extension and other non-web URLs are skipped (and counted).

Args:
    profile: Profile friendly name (from ``list_profiles``) or directory id.
    date: Day to summarize, formatted ``YYYY-MM-DD``. Day boundaries are
        interpreted in the local machine timezone.
    start_time: Optional lower bound within the day, ``HH:MM`` (24-hour,
        local time). Defaults to the start of the day (``00:00``).
    end_time: Optional upper bound within the day, ``HH:MM`` (exclusive,
        local time). Defaults to the end of the day. Must be later than
        ``start_time``.
    group_by: Bucket granularity. Currently only ``"hour"`` is supported.
    limit: Maximum number of underlying visit rows to aggregate per page
        (default 10000, capped at 50000). Non-positive values fall back to
        the default.
    offset: Number of visit rows to skip from the start of the window, for
        paging through large days (default 0).
    include_titles: Include a small sample of page titles per domain
        (default true). Set false to get domains and counts only.
    max_titles_per_site: Maximum sample titles per domain per bucket
        (default 3, capped at 10). Values <= 0 return no titles.

Returns:
    A dict with:

    * ``profile``/``date``/``group_by``/``timezone``: the query context.
    * ``entries_considered``: visit rows examined in this page.
    * ``web_entries``: rows counted in the buckets.
    * ``non_web_entries_skipped``: rows skipped as non-web URLs.
    * ``buckets``: hour buckets ordered ascending, each with the local ISO
      ``hour``, a friendly ``label`` (e.g. ``8 AM``), ``total_web_visits``
      and ``sites`` (``domain`` + ``visits`` + ``sample_titles``, sorted by
      visits descending then domain ascending). Domains are normalized
      (``www.`` stripped); no full URLs, query strings or fragments are
      returned. ``sample_titles`` holds up to ``max_titles_per_site``
      deduplicated, truncated page titles in first-seen order.
    * ``offset``/``limit``/``has_more``/``next_offset``: paging metadata,
      with the same semantics as ``get_history``.
ParametersJSON Schema
NameRequiredDescriptionDefault
dateYes
limitNo
offsetNo
profileYes
end_timeNo
group_byNohour
start_timeNo
include_titlesNo
max_titles_per_siteNo

TDQS

A5/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It discloses critical behaviors: non-web URL filtering, domain normalization, title sampling limits, pagination semantics, and that full URLs are never exposed to protect secrets. This goes far beyond minimal disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long but well-structured with Args and Returns sections. It is front-loaded with a succinct summary, then detailed parameter and return info. Each sentence conveys necessary information without redundancy, appropriate for a complex tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description fully explains the return value structure, including nested bucket fields, ordering, and paging metadata. It also covers edge cases like timezone interpretation and limits, making the tool complete and understandable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides no descriptions (0% coverage), so the description must compensate. Every parameter is explained in detail: formats, defaults, constraints, and behaviors (e.g., end_time exclusive, limit caps, non-positive fallback). This fully covers parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence clearly states the verb and resource: 'Summarize Edge browsing history for a profile on a day, by domain only.' It immediately distinguishes itself from get_history by explaining the aggregation level and security rationale, making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit guidance is given: 'Prefer this tool over get_history for questions like...' and 'Only use get_history when specific URLs are genuinely required.' This directly addresses when to use this tool versus the sibling, satisfying the dimension completely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_profilesA

List available Microsoft Edge browsing profiles.

Returns one entry per profile with its friendly ``name``, on-disk
``directory`` id, and whether it is the default profile. Use the ``name``
(or ``directory``) value as the ``profile`` argument to ``get_history``.
ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.6/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It discloses the return format and the purpose of each field, which is adequate for a read-only listing tool. It does not mention side effects or prerequisites, but none are expected.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences: the first states the action, the second details the output and provides usage guidance. Every sentence is useful and there is no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters and presence of an output schema, the description fully explains the return values and connects to the sibling tool. It is complete for a simple listing tool with no additional complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are no parameters, and the description adds value by explaining the output field semantics and linking to sibling tool usage, which exceeds the baseline expectation for a parameter-less tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists Microsoft Edge browsing profiles, with specific mention of returning name, directory, and default status. It distinguishes itself from the sibling tool get_history by showing how its output feeds into that tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly instructs using the returned values as arguments to get_history, providing clear context for when to use this tool (before retrieving history). It does not mention exclusions, but the guidance is sufficient for this simple listing tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

TDQS

A4.8/5.0
Disambiguation5/5

The three tools are clearly distinct: list_profiles handles profile enumeration, get_history returns raw detailed visit entries, and get_history_summary provides an aggregated domain-level view. The descriptions explicitly explain when to use each, eliminating ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern. list_profiles and get_history use clear action-object phrasing, and get_history_summary extends get_history logically. No mixed conventions or vague verbs.

Tool Count5/5

With only three tools, the server is tightly scoped to browsing history retrieval. Each tool earns its place: profile discovery, raw history access, and summarization. The count is neither too thin nor bloated for the purpose.

Completeness5/5

The server covers the full read-only lifecycle for Edge history: discovering profiles, fetching detailed history with pagination and time filtering, and obtaining summaries. No obvious gaps exist within the narrow domain; the tools together handle typical use cases.

Maintenance

ActivityMaintained
ResponsivenessSyncing

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